{"data":{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training","tool_count":563,"tools":[{"slug":"huggingface-transformers","name":"transformers","tagline":"Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models","github_url":"https://github.com/huggingface/transformers","owner":"huggingface","repo":"transformers","owner_avatar_url":"https://avatars.githubusercontent.com/u/25720743?v=4","primary_language":"Python","stars":164121,"forks":34249,"topics":["audio","deep-learning","deepseek","gemma","glm","hacktoberfest","llm","machine-learning","model-hub","natural-language-processing","nlp","pretrained-models","python","pytorch","pytorch-transformers","qwen","speech-recognition","transformer","vlm"],"archived":false,"github_pushed_at":"2026-08-15T22:28:12+00:00","maintenance_label":"Very active","stars_delta_30d":1457,"url":"https://www.graphcanon.com/tools/huggingface-transformers","markdown_url":"https://www.graphcanon.com/tools/huggingface-transformers.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/huggingface-transformers","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=huggingface-transformers"},{"slug":"tensorflow-tensorflow","name":"tensorflow","tagline":"An Open Source Machine Learning Framework for Everyone","github_url":"https://github.com/tensorflow/tensorflow","owner":"tensorflow","repo":"tensorflow","owner_avatar_url":"https://avatars.githubusercontent.com/u/15658638?v=4","primary_language":"C++","stars":196758,"forks":75773,"topics":["deep-learning","deep-neural-networks","distributed","machine-learning","ml","neural-network","python","tensorflow"],"archived":false,"github_pushed_at":"2026-08-03T06:01:06+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/tensorflow-tensorflow","markdown_url":"https://www.graphcanon.com/tools/tensorflow-tensorflow.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/tensorflow-tensorflow","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=tensorflow-tensorflow"},{"slug":"rasbt-llms-from-scratch","name":"LLMs-from-scratch","tagline":"Implement a ChatGPT-like LLM in PyTorch from scratch, step by step","github_url":"https://github.com/rasbt/LLMs-from-scratch","owner":"rasbt","repo":"LLMs-from-scratch","owner_avatar_url":"https://avatars.githubusercontent.com/u/5618407?v=4","primary_language":"Jupyter Notebook","stars":102733,"forks":15748,"topics":["ai","artificial-intelligence","attention-mechanism","deep-learning","finetuning","from-scratch","generative-ai","gpt","instruction-tuning","language-model","large-language-models","llm","machine-learning","natural-language-processing","pretraining","python","pytorch","tokenizer","transformers"],"archived":false,"github_pushed_at":"2026-08-10T01:11:40+00:00","maintenance_label":"Very active","stars_delta_30d":3541,"url":"https://www.graphcanon.com/tools/rasbt-llms-from-scratch","markdown_url":"https://www.graphcanon.com/tools/rasbt-llms-from-scratch.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/rasbt-llms-from-scratch","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=rasbt-llms-from-scratch"},{"slug":"keras-team-keras","name":"keras","tagline":"Deep Learning for humans","github_url":"https://github.com/keras-team/keras","owner":"keras-team","repo":"keras","owner_avatar_url":"https://avatars.githubusercontent.com/u/34455048?v=4","primary_language":"Python","stars":64217,"forks":19746,"topics":["data-science","deep-learning","jax","machine-learning","neural-networks","python","pytorch","tensorflow"],"archived":false,"github_pushed_at":"2026-08-01T11:15:08+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/keras-team-keras","markdown_url":"https://www.graphcanon.com/tools/keras-team-keras.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/keras-team-keras","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=keras-team-keras"},{"slug":"hiyouga-llamafactory","name":"LlamaFactory","tagline":"Unified Efficient Fine-Tuning of 100+ LLMs & VLMs","github_url":"https://github.com/hiyouga/LlamaFactory","owner":"hiyouga","repo":"LlamaFactory","owner_avatar_url":"https://avatars.githubusercontent.com/u/16256802?v=4","primary_language":"Python","stars":74132,"forks":9071,"topics":["agent","ai","deepseek","fine-tuning","gemma","gpt","instruction-tuning","large-language-models","llama","llama3","llm","lora","moe","nlp","peft","qlora","quantization","qwen","rlhf","transformers"],"archived":false,"github_pushed_at":"2026-08-13T12:45:56+00:00","maintenance_label":"Very active","stars_delta_30d":803,"url":"https://www.graphcanon.com/tools/hiyouga-llamafactory","markdown_url":"https://www.graphcanon.com/tools/hiyouga-llamafactory.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/hiyouga-llamafactory","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=hiyouga-llamafactory"},{"slug":"unslothai-unsloth","name":"unsloth","tagline":"A web UI for training and running open models locally.","github_url":"https://github.com/unslothai/unsloth","owner":"unslothai","repo":"unsloth","owner_avatar_url":"https://avatars.githubusercontent.com/u/150920049?v=4","primary_language":"Python","stars":69621,"forks":6285,"topics":["agent","deepseek","fine-tuning","gemma","gemma3","gpt-oss","llama","llama3","llm","llms","mistral","openai","qwen","reinforcement-learning","self-hosted","text-to-speech","tts","ui","unsloth"],"archived":false,"github_pushed_at":"2026-08-06T06:01:56+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/unslothai-unsloth","markdown_url":"https://www.graphcanon.com/tools/unslothai-unsloth.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/unslothai-unsloth","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=unslothai-unsloth"},{"slug":"jeecgboot-jeecgboot","name":"JeecgBoot","tagline":"AI低代码平台，实现快速生成前后端系统及模块","github_url":"https://github.com/jeecgboot/JeecgBoot","owner":"jeecgboot","repo":"JeecgBoot","owner_avatar_url":"https://avatars.githubusercontent.com/u/86360035?v=4","primary_language":"Java","stars":47405,"forks":16153,"topics":["activiti","agent","ai","antd","claude-code","cli","codegenerator","codex","flowable","langchain4j","llm","low-code","mcp","mybatis-plus","rag","skills","spring-ai","springboot","springcloud","vue3"],"archived":false,"github_pushed_at":"2026-08-14T06:09:59+00:00","maintenance_label":"Very active","stars_delta_30d":301,"url":"https://www.graphcanon.com/tools/jeecgboot-jeecgboot","markdown_url":"https://www.graphcanon.com/tools/jeecgboot-jeecgboot.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/jeecgboot-jeecgboot","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=jeecgboot-jeecgboot"},{"slug":"langflow-ai-langflow","name":"langflow","tagline":"Tool for building and deploying AI-powered agents and workflows","github_url":"https://github.com/langflow-ai/langflow","owner":"langflow-ai","repo":"langflow","owner_avatar_url":"https://avatars.githubusercontent.com/u/85702467?v=4","primary_language":"Python","stars":152744,"forks":9747,"topics":["agents","chatgpt","generative-ai","large-language-models","multiagent","react-flow"],"archived":false,"github_pushed_at":"2026-08-02T00:44:47+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/langflow-ai-langflow","markdown_url":"https://www.graphcanon.com/tools/langflow-ai-langflow.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/langflow-ai-langflow","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=langflow-ai-langflow"},{"slug":"ray-project-ray","name":"ray","tagline":"Ray is an AI compute engine with a core distributed runtime and AI Libraries for accelerating ML workloads.","github_url":"https://github.com/ray-project/ray","owner":"ray-project","repo":"ray","owner_avatar_url":"https://avatars.githubusercontent.com/u/22125274?v=4","primary_language":"Python","stars":43526,"forks":7929,"topics":["data-science","deep-learning","deployment","distributed","hyperparameter-optimization","hyperparameter-search","large-language-models","llm","llm-inference","llm-serving","machine-learning","optimization","parallel","python","pytorch","ray","reinforcement-learning","rllib","serving","tensorflow"],"archived":false,"github_pushed_at":"2026-08-16T00:26:16+00:00","maintenance_label":"Very active","stars_delta_30d":270,"url":"https://www.graphcanon.com/tools/ray-project-ray","markdown_url":"https://www.graphcanon.com/tools/ray-project-ray.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/ray-project-ray","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=ray-project-ray"},{"slug":"danny-avila-librechat","name":"LibreChat","tagline":"Enhanced ChatGPT Clone with extensive features and integrations for self-hosting","github_url":"https://github.com/danny-avila/LibreChat","owner":"danny-avila","repo":"LibreChat","owner_avatar_url":"https://avatars.githubusercontent.com/u/110412045?v=4","primary_language":"TypeScript","stars":41282,"forks":8495,"topics":["ai","anthropic","artifacts","aws","azure","chatgpt","chatgpt-clone","claude","clone","deepseek","gemini","google","gpt-5","librechat","mcp","o1","openai","responses-api","vision","webui"],"archived":false,"github_pushed_at":"2026-07-25T21:44:54+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/danny-avila-librechat","markdown_url":"https://www.graphcanon.com/tools/danny-avila-librechat.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/danny-avila-librechat","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=danny-avila-librechat"},{"slug":"mlflow-mlflow","name":"mlflow","tagline":"AI engineering platform for debugging, evaluating, monitoring, and optimizing AI applications","github_url":"https://github.com/mlflow/mlflow","owner":"mlflow","repo":"mlflow","owner_avatar_url":"https://avatars.githubusercontent.com/u/39938107?v=4","primary_language":"Python","stars":27591,"forks":6189,"topics":["agentops","agents","ai","ai-governance","apache-spark","evaluation","langchain","llm-evaluation","llmops","machine-learning","ml","mlflow","mlops","model-management","observability","open-source","openai","prompt-engineering"],"archived":false,"github_pushed_at":"2026-08-20T00:54:28+00:00","maintenance_label":"Very active","stars_delta_30d":476,"url":"https://www.graphcanon.com/tools/mlflow-mlflow","markdown_url":"https://www.graphcanon.com/tools/mlflow-mlflow.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/mlflow-mlflow","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=mlflow-mlflow"},{"slug":"lutzroeder-netron","name":"netron","tagline":"Visualizer for neural network, deep learning and machine learning models","github_url":"https://github.com/lutzroeder/netron","owner":"lutzroeder","repo":"netron","owner_avatar_url":"https://avatars.githubusercontent.com/u/438516?v=4","primary_language":"JavaScript","stars":33302,"forks":3175,"topics":["ai","coreml","deep-learning","deeplearning","keras","machine-learning","machinelearning","ml","neural-network","numpy","onnx","pytorch","safetensors","tensorflow","tensorflow-lite","visualizer"],"archived":false,"github_pushed_at":"2026-08-02T16:49:54+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/lutzroeder-netron","markdown_url":"https://www.graphcanon.com/tools/lutzroeder-netron.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/lutzroeder-netron","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=lutzroeder-netron"},{"slug":"khoj-ai-khoj","name":"khoj","tagline":"Your AI second brain. Self-hostable.","github_url":"https://github.com/khoj-ai/khoj","owner":"khoj-ai","repo":"khoj","owner_avatar_url":"https://avatars.githubusercontent.com/u/134046886?v=4","primary_language":"Python","stars":36512,"forks":2386,"topics":["agent","ai","assistant","chat","chatgpt","emacs","image-generation","llama3","llamacpp","llm","obsidian","obsidian-md","offline-llm","productivity","rag","research","self-hosted","semantic-search","stt","whatsapp-ai"],"archived":false,"github_pushed_at":"2026-08-02T01:55:40+00:00","maintenance_label":"Active","stars_delta_30d":702,"url":"https://www.graphcanon.com/tools/khoj-ai-khoj","markdown_url":"https://www.graphcanon.com/tools/khoj-ai-khoj.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/khoj-ai-khoj","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=khoj-ai-khoj"},{"slug":"nirdiamant-rag-techniques","name":"RAG_Techniques","tagline":"Showcases advanced techniques for Retrieval-Augmented Generation (RAG) systems with detailed notebook tutorials.","github_url":"https://github.com/NirDiamant/RAG_Techniques","owner":"NirDiamant","repo":"RAG_Techniques","owner_avatar_url":"https://avatars.githubusercontent.com/u/28316913?v=4","primary_language":"Jupyter Notebook","stars":29076,"forks":3540,"topics":["agentic-rag","ai","embeddings","generative-ai","gpt","langchain","llama-index","llm","llms","machine-learning","nlp","openai","python","rag","retrieval-augmented-generation","semantic-search","tutorials","vector-database"],"archived":false,"github_pushed_at":"2026-08-15T00:52:05+00:00","maintenance_label":"Very active","stars_delta_30d":455,"url":"https://www.graphcanon.com/tools/nirdiamant-rag-techniques","markdown_url":"https://www.graphcanon.com/tools/nirdiamant-rag-techniques.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/nirdiamant-rag-techniques","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=nirdiamant-rag-techniques"},{"slug":"huggingface-peft","name":"peft","tagline":"State-of-the-art Parameter-Efficient Fine-Tuning","github_url":"https://github.com/huggingface/peft","owner":"huggingface","repo":"peft","owner_avatar_url":"https://avatars.githubusercontent.com/u/25720743?v=4","primary_language":"Python","stars":21443,"forks":2399,"topics":["adapter","diffusion","fine-tuning","llm","lora","parameter-efficient-learning","peft","python","pytorch","transformers"],"archived":false,"github_pushed_at":"2026-07-23T15:52:27+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/huggingface-peft","markdown_url":"https://www.graphcanon.com/tools/huggingface-peft.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/huggingface-peft","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=huggingface-peft"},{"slug":"liyupi-ai-guide","name":"ai-guide","tagline":"免费开放的AI知识共享平台","github_url":"https://github.com/liyupi/ai-guide","owner":"liyupi","repo":"ai-guide","owner_avatar_url":"https://avatars.githubusercontent.com/u/26037703?v=4","primary_language":"JavaScript","stars":18766,"forks":2127,"topics":["ai","artificial-intelligence","chatgpt","claude","codex","cursor","deep-learning","deepseek","gemini","generative-ai","gpt","llm","mcp","openai","python","rag","vibe-coding","vibecoding","vue","vuepress"],"archived":false,"github_pushed_at":"2026-08-07T14:50:37+00:00","maintenance_label":"Active","stars_delta_30d":1371,"url":"https://www.graphcanon.com/tools/liyupi-ai-guide","markdown_url":"https://www.graphcanon.com/tools/liyupi-ai-guide.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/liyupi-ai-guide","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=liyupi-ai-guide"},{"slug":"stas00-ml-engineering","name":"ml-engineering","tagline":"Machine Learning Engineering Open Book","github_url":"https://github.com/stas00/ml-engineering","owner":"stas00","repo":"ml-engineering","owner_avatar_url":"https://avatars.githubusercontent.com/u/10676103?v=4","primary_language":"Python","stars":18632,"forks":1200,"topics":["ai","debugging","gpus","inference","large-language-models","llm","machine-learning","machine-learning-engineering","mlops","network","pytorch","scalability","slurm","storage","training","transformers"],"archived":false,"github_pushed_at":"2026-08-14T19:59:44+00:00","maintenance_label":"Very active","stars_delta_30d":216,"url":"https://www.graphcanon.com/tools/stas00-ml-engineering","markdown_url":"https://www.graphcanon.com/tools/stas00-ml-engineering.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/stas00-ml-engineering","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=stas00-ml-engineering"},{"slug":"googlecloudplatform-generative-ai","name":"generative-ai","tagline":"Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform","github_url":"https://github.com/GoogleCloudPlatform/generative-ai","owner":"GoogleCloudPlatform","repo":"generative-ai","owner_avatar_url":"https://avatars.githubusercontent.com/u/2810941?v=4","primary_language":"Jupyter Notebook","stars":17594,"forks":4412,"topics":["agents","gcp","gemini","gemini-api","gen-ai","generative-ai","google","google-cloud","google-gemini","langchain","large-language-models","llm","vertex-ai","vertex-ai-gemini-api","vertexai"],"archived":false,"github_pushed_at":"2026-08-15T14:38:29+00:00","maintenance_label":"Very active","stars_delta_30d":247,"url":"https://www.graphcanon.com/tools/googlecloudplatform-generative-ai","markdown_url":"https://www.graphcanon.com/tools/googlecloudplatform-generative-ai.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/googlecloudplatform-generative-ai","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=googlecloudplatform-generative-ai"},{"slug":"dataelement-bisheng","name":"bisheng","tagline":"BISHENG is an open LLM devops platform for next generation Enterprise AI applications","github_url":"https://github.com/dataelement/bisheng","owner":"dataelement","repo":"bisheng","owner_avatar_url":"https://avatars.githubusercontent.com/u/103249391?v=4","primary_language":"Python","stars":11879,"forks":1941,"topics":["agent","ai","chatbot","enterprise","finetune","genai","gpt","langchian","llama","llm","llmdevops","llmops","ocr","openai","orchestration","python","rag","react","sft","workflow"],"archived":false,"github_pushed_at":"2026-08-18T11:46:00+00:00","maintenance_label":"Very active","stars_delta_30d":348,"url":"https://www.graphcanon.com/tools/dataelement-bisheng","markdown_url":"https://www.graphcanon.com/tools/dataelement-bisheng.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/dataelement-bisheng","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=dataelement-bisheng"},{"slug":"deepspeedai-deepspeed","name":"DeepSpeed","tagline":"Deep learning optimization library for efficient distributed training and inference","github_url":"https://github.com/deepspeedai/DeepSpeed","owner":"deepspeedai","repo":"DeepSpeed","owner_avatar_url":"https://avatars.githubusercontent.com/u/74068820?v=4","primary_language":"Python","stars":42870,"forks":4920,"topics":["billion-parameters","compression","data-parallelism","deep-learning","gpu","inference","machine-learning","mixture-of-experts","model-parallelism","pipeline-parallelism","pytorch","trillion-parameters","zero"],"archived":false,"github_pushed_at":"2026-08-06T16:21:12+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/deepspeedai-deepspeed","markdown_url":"https://www.graphcanon.com/tools/deepspeedai-deepspeed.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/deepspeedai-deepspeed","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=deepspeedai-deepspeed"},{"slug":"ludwig-ai-ludwig","name":"ludwig","tagline":"Low-code framework for building custom LLMs and AI models","github_url":"https://github.com/ludwig-ai/ludwig","owner":"ludwig-ai","repo":"ludwig","owner_avatar_url":"https://avatars.githubusercontent.com/u/65477820?v=4","primary_language":"Python","stars":11746,"forks":1216,"topics":["computer-vision","data-centric","data-science","deep","deep-learning","deeplearning","fine-tuning","learning","llama","llama2","llm","llm-training","machine-learning","machinelearning","mistral","ml","natural-language","natural-language-processing","neural-network","pytorch"],"archived":false,"github_pushed_at":"2026-08-03T21:27:21+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/ludwig-ai-ludwig","markdown_url":"https://www.graphcanon.com/tools/ludwig-ai-ludwig.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/ludwig-ai-ludwig","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=ludwig-ai-ludwig"},{"slug":"mempalace-mempalace","name":"mempalace","tagline":"The best-benchmarked open-source AI memory system.","github_url":"https://github.com/MemPalace/mempalace","owner":"MemPalace","repo":"mempalace","owner_avatar_url":"https://avatars.githubusercontent.com/u/275135684?v=4","primary_language":"Python","stars":58400,"forks":7498,"topics":["ai","chromadb","llm","mcp","memory","python"],"archived":false,"github_pushed_at":"2026-08-15T01:20:08+00:00","maintenance_label":"Very active","stars_delta_30d":1001,"url":"https://www.graphcanon.com/tools/mempalace-mempalace","markdown_url":"https://www.graphcanon.com/tools/mempalace-mempalace.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/mempalace-mempalace","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=mempalace-mempalace"},{"slug":"bentoml-openllm","name":"OpenLLM","tagline":"Run any open-source LLMs as OpenAI compatible API endpoint in the cloud.","github_url":"https://github.com/bentoml/OpenLLM","owner":"bentoml","repo":"OpenLLM","owner_avatar_url":"https://avatars.githubusercontent.com/u/49176046?v=4","primary_language":"Python","stars":12454,"forks":828,"topics":["bentoml","fine-tuning","llama","llama2","llama3-1","llama3-2","llama3-2-vision","llm","llm-inference","llm-ops","llm-serving","llmops","mistral","mlops","model-inference","open-source-llm","openllm","vicuna"],"archived":false,"github_pushed_at":"2026-08-03T16:59:03+00:00","maintenance_label":"Very active","stars_delta_30d":66,"url":"https://www.graphcanon.com/tools/bentoml-openllm","markdown_url":"https://www.graphcanon.com/tools/bentoml-openllm.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/bentoml-openllm","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=bentoml-openllm"},{"slug":"pytorch-pytorch","name":"pytorch","tagline":"Tensors and Dynamic neural networks in Python with strong GPU acceleration","github_url":"https://github.com/pytorch/pytorch","owner":"pytorch","repo":"pytorch","owner_avatar_url":"https://avatars.githubusercontent.com/u/21003710?v=4","primary_language":"Python","stars":102144,"forks":28650,"topics":["autograd","deep-learning","gpu","machine-learning","neural-network","numpy","python","tensor"],"archived":false,"github_pushed_at":"2026-08-03T06:00:50+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/pytorch-pytorch","markdown_url":"https://www.graphcanon.com/tools/pytorch-pytorch.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/pytorch-pytorch","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=pytorch-pytorch"},{"slug":"unstructured-io-unstructured","name":"unstructured","tagline":"Convert documents to structured data effortlessly","github_url":"https://github.com/Unstructured-IO/unstructured","owner":"Unstructured-IO","repo":"unstructured","owner_avatar_url":"https://avatars.githubusercontent.com/u/108372208?v=4","primary_language":"HTML","stars":15238,"forks":1284,"topics":["data-pipelines","deep-learning","document-image-analysis","document-image-processing","document-parser","document-parsing","docx","donut","information-retrieval","langchain","llm","machine-learning","ml","natural-language-processing","nlp","ocr","pdf","pdf-to-json","pdf-to-text","preprocessing"],"archived":false,"github_pushed_at":"2026-07-31T20:54:17+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/unstructured-io-unstructured","markdown_url":"https://www.graphcanon.com/tools/unstructured-io-unstructured.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/unstructured-io-unstructured","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=unstructured-io-unstructured"},{"slug":"wangrongsheng-awesome-llm-resources","name":"awesome-LLM-resources","tagline":"Summary of the world's best LLM resources.","github_url":"https://github.com/WangRongsheng/awesome-LLM-resources","owner":"WangRongsheng","repo":"awesome-LLM-resources","owner_avatar_url":"https://avatars.githubusercontent.com/u/55651568?v=4","primary_language":null,"stars":8845,"forks":950,"topics":["awesome-list","book","course","large-language-models","llama","llm","mistral","openai","qwen","rag","retrieval-augmented-generation","webui"],"archived":false,"github_pushed_at":"2026-08-14T15:54:28+00:00","maintenance_label":"Very active","stars_delta_30d":142,"url":"https://www.graphcanon.com/tools/wangrongsheng-awesome-llm-resources","markdown_url":"https://www.graphcanon.com/tools/wangrongsheng-awesome-llm-resources.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/wangrongsheng-awesome-llm-resources","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=wangrongsheng-awesome-llm-resources"},{"slug":"oumi-ai-oumi","name":"oumi","tagline":"Easily fine-tune, evaluate and deploy open source LLMs/VLMs","github_url":"https://github.com/oumi-ai/oumi","owner":"oumi-ai","repo":"oumi","owner_avatar_url":"https://avatars.githubusercontent.com/u/167452922?v=4","primary_language":"Python","stars":9359,"forks":780,"topics":["dpo","evaluation","fine-tuning","gpt-oss","gpt-oss-120b","gpt-oss-20b","inference","llama","llms","sft","slms","vlms"],"archived":false,"github_pushed_at":"2026-07-24T05:44:23+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/oumi-ai-oumi","markdown_url":"https://www.graphcanon.com/tools/oumi-ai-oumi.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/oumi-ai-oumi","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=oumi-ai-oumi"},{"slug":"funaudiollm-cosyvoice","name":"CosyVoice","tagline":"Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment.","github_url":"https://github.com/FunAudioLLM/CosyVoice","owner":"FunAudioLLM","repo":"CosyVoice","owner_avatar_url":"https://avatars.githubusercontent.com/u/167062371?v=4","primary_language":"Python","stars":22373,"forks":2584,"topics":["audio-generation","cantonese","chatbot","chatgpt","chinese","cosyvoice","cross-lingual","english","fine-grained","fine-tuning","gpt-4o","japanese","korean","multi-lingual","natural-language-generation","python","text-to-speech","tts","voice-cloning"],"archived":false,"github_pushed_at":"2026-05-25T18:15:40+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/funaudiollm-cosyvoice","markdown_url":"https://www.graphcanon.com/tools/funaudiollm-cosyvoice.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/funaudiollm-cosyvoice","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=funaudiollm-cosyvoice"},{"slug":"microsoft-agent-lightning","name":"agent-lightning","tagline":"The absolute trainer to light up AI agents","github_url":"https://github.com/microsoft/agent-lightning","owner":"microsoft","repo":"agent-lightning","owner_avatar_url":"https://avatars.githubusercontent.com/u/6154722?v=4","primary_language":"Python","stars":17500,"forks":1541,"topics":["agent","agentic-ai","llm","mlops","reinforcement-learning"],"archived":false,"github_pushed_at":"2026-08-19T04:24:29+00:00","maintenance_label":"Very active","stars_delta_30d":104,"url":"https://www.graphcanon.com/tools/microsoft-agent-lightning","markdown_url":"https://www.graphcanon.com/tools/microsoft-agent-lightning.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/microsoft-agent-lightning","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=microsoft-agent-lightning"},{"slug":"fareedkhan-dev-train-llm-from-scratch","name":"train-llm-from-scratch","tagline":"A straightforward method for training your LLM from raw text to aligned model generation","github_url":"https://github.com/FareedKhan-dev/train-llm-from-scratch","owner":"FareedKhan-dev","repo":"train-llm-from-scratch","owner_avatar_url":"https://avatars.githubusercontent.com/u/63067900?v=4","primary_language":"Python","stars":9141,"forks":1264,"topics":["gemini","large-language-models","llm","openai","training","transformers"],"archived":false,"github_pushed_at":"2026-08-17T05:07:26+00:00","maintenance_label":"Very active","stars_delta_30d":765,"url":"https://www.graphcanon.com/tools/fareedkhan-dev-train-llm-from-scratch","markdown_url":"https://www.graphcanon.com/tools/fareedkhan-dev-train-llm-from-scratch.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/fareedkhan-dev-train-llm-from-scratch","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=fareedkhan-dev-train-llm-from-scratch"},{"slug":"microsoft-mcp-for-beginners","name":"mcp-for-beginners","tagline":"Open-source curriculum for Model Context Protocol (MCP), covering modular and secure AI workflows in multiple languages","github_url":"https://github.com/microsoft/mcp-for-beginners","owner":"microsoft","repo":"mcp-for-beginners","owner_avatar_url":"https://avatars.githubusercontent.com/u/6154722?v=4","primary_language":"Jupyter Notebook","stars":16835,"forks":5485,"topics":["csharp","java","javascript","javascript-applications","mcp","mcp-client","mcp-security","mcp-server","model","model-context-protocol","modelcontextprotocol","python","rust","typescript"],"archived":false,"github_pushed_at":"2026-07-25T18:35:32+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/microsoft-mcp-for-beginners","markdown_url":"https://www.graphcanon.com/tools/microsoft-mcp-for-beginners.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/microsoft-mcp-for-beginners","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=microsoft-mcp-for-beginners"},{"slug":"bentoml-bentoml","name":"BentoML","tagline":"The easiest way to serve AI apps and models","github_url":"https://github.com/bentoml/BentoML","owner":"bentoml","repo":"BentoML","owner_avatar_url":"https://avatars.githubusercontent.com/u/49176046?v=4","primary_language":"Python","stars":8793,"forks":1010,"topics":["ai-inference","deep-learning","generative-ai","inference-platform","llm","llm-inference","llm-serving","llmops","machine-learning","ml-engineering","mlops","model-inference-service","model-serving","multimodal","python"],"archived":false,"github_pushed_at":"2026-08-03T17:00:21+00:00","maintenance_label":"Active","stars_delta_30d":65,"url":"https://www.graphcanon.com/tools/bentoml-bentoml","markdown_url":"https://www.graphcanon.com/tools/bentoml-bentoml.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/bentoml-bentoml","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=bentoml-bentoml"},{"slug":"youmind-openlab-awesome-gpt-image-2","name":"awesome-gpt-image-2","tagline":"World's largest GPT Image 2 prompt library, updated daily","github_url":"https://github.com/YouMind-OpenLab/awesome-gpt-image-2","owner":"YouMind-OpenLab","repo":"awesome-gpt-image-2","owner_avatar_url":"https://avatars.githubusercontent.com/u/245655810?v=4","primary_language":"TypeScript","stars":8852,"forks":818,"topics":["ai-image-generation","ai-prompts","awesome","awesome-list","commercial-illustration","duct-tape","gpt","gpt-image","gpt-image-2","image-generation","multilingual","openai","openai-image","prompt-engineering","prompts","text-rendering"],"archived":false,"github_pushed_at":"2026-07-27T14:09:47+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/youmind-openlab-awesome-gpt-image-2","markdown_url":"https://www.graphcanon.com/tools/youmind-openlab-awesome-gpt-image-2.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/youmind-openlab-awesome-gpt-image-2","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=youmind-openlab-awesome-gpt-image-2"},{"slug":"accumulatemore-cv","name":"CV","tagline":"超级全面的 深度学习 笔记","github_url":"https://github.com/AccumulateMore/CV","owner":"AccumulateMore","repo":"CV","owner_avatar_url":"https://avatars.githubusercontent.com/u/60348867?v=4","primary_language":"Jupyter Notebook","stars":23321,"forks":2617,"topics":["agent","agents","book","chinese","computer-vision","cv","deep-learning","jupyter-notebook","llm","llms","machine-learning","natural-language-processing","nlp","notebook","python","rag"],"archived":false,"github_pushed_at":"2026-06-30T14:36:23+00:00","maintenance_label":"Steady","stars_delta_30d":603,"url":"https://www.graphcanon.com/tools/accumulatemore-cv","markdown_url":"https://www.graphcanon.com/tools/accumulatemore-cv.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/accumulatemore-cv","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=accumulatemore-cv"},{"slug":"netflix-metaflow","name":"metaflow","tagline":"Build, Manage and Deploy AI/ML Systems","github_url":"https://github.com/Netflix/metaflow","owner":"Netflix","repo":"metaflow","owner_avatar_url":"https://avatars.githubusercontent.com/u/913567?v=4","primary_language":"Python","stars":10228,"forks":1330,"topics":["agents","ai","aws","azure","cost-optimization","datascience","distributed-training","gcp","generative-ai","high-performance-computing","kubernetes","llm","llmops","machine-learning","ml","ml-infrastructure","ml-platform","mlops","model-management","python"],"archived":false,"github_pushed_at":"2026-08-18T09:41:43+00:00","maintenance_label":"Very active","stars_delta_30d":38,"url":"https://www.graphcanon.com/tools/netflix-metaflow","markdown_url":"https://www.graphcanon.com/tools/netflix-metaflow.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/netflix-metaflow","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=netflix-metaflow"},{"slug":"openpipe-art","name":"ART","tagline":"Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO.","github_url":"https://github.com/OpenPipe/ART","owner":"OpenPipe","repo":"ART","owner_avatar_url":"https://avatars.githubusercontent.com/u/139012218?v=4","primary_language":"Python","stars":10603,"forks":974,"topics":["agent","agentic-ai","grpo","llms","lora","qwen","qwen3","reinforcement-learning","rl"],"archived":false,"github_pushed_at":"2026-08-19T01:31:53+00:00","maintenance_label":"Very active","stars_delta_30d":109,"url":"https://www.graphcanon.com/tools/openpipe-art","markdown_url":"https://www.graphcanon.com/tools/openpipe-art.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/openpipe-art","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=openpipe-art"},{"slug":"paddlepaddle-paddle","name":"Paddle","tagline":"High-performance single-machine and distributed deep learning & machine learning framework","github_url":"https://github.com/PaddlePaddle/Paddle","owner":"PaddlePaddle","repo":"Paddle","owner_avatar_url":"https://avatars.githubusercontent.com/u/23534030?v=4","primary_language":"C++","stars":24040,"forks":6013,"topics":["deep-learning","distributed-training","efficiency","machine-learning","neural-network","paddlepaddle","python","scalability"],"archived":false,"github_pushed_at":"2026-07-31T13:47:47+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/paddlepaddle-paddle","markdown_url":"https://www.graphcanon.com/tools/paddlepaddle-paddle.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/paddlepaddle-paddle","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=paddlepaddle-paddle"},{"slug":"liguodongiot-llm-action","name":"llm-action","tagline":"Aims to share large model technology principles and practical experience (large model engineering, application implementation)","github_url":"https://github.com/liguodongiot/llm-action","owner":"liguodongiot","repo":"llm-action","owner_avatar_url":"https://avatars.githubusercontent.com/u/13220186?v=4","primary_language":"HTML","stars":24898,"forks":2842,"topics":["llm","llm-inference","llm-serving","llm-training","llmops"],"archived":false,"github_pushed_at":"2026-07-19T13:13:31+00:00","maintenance_label":"Active","stars_delta_30d":162,"url":"https://www.graphcanon.com/tools/liguodongiot-llm-action","markdown_url":"https://www.graphcanon.com/tools/liguodongiot-llm-action.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/liguodongiot-llm-action","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=liguodongiot-llm-action"},{"slug":"conardli-garden-skills","name":"garden-skills","tagline":"Skills collection for web design, knowledge retrieval, image generation and more.","github_url":"https://github.com/ConardLi/garden-skills","owner":"ConardLi","repo":"garden-skills","owner_avatar_url":"https://avatars.githubusercontent.com/u/30708545?v=4","primary_language":"CSS","stars":10406,"forks":1361,"topics":["agent","claude","gpt-image-2","rag","skills","web-design"],"archived":false,"github_pushed_at":"2026-07-12T14:36:31+00:00","maintenance_label":"Steady","stars_delta_30d":798,"url":"https://www.graphcanon.com/tools/conardli-garden-skills","markdown_url":"https://www.graphcanon.com/tools/conardli-garden-skills.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/conardli-garden-skills","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=conardli-garden-skills"},{"slug":"huggingface-tokenizers","name":"tokenizers","tagline":"💥 Fast State-of-the-Art Tokenizers optimized for Research and Production","github_url":"https://github.com/huggingface/tokenizers","owner":"huggingface","repo":"tokenizers","owner_avatar_url":"https://avatars.githubusercontent.com/u/25720743?v=4","primary_language":"Rust","stars":10940,"forks":1160,"topics":["bert","gpt","language-model","natural-language-processing","natural-language-understanding","nlp","transformers"],"archived":false,"github_pushed_at":"2026-08-01T12:35:36+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/huggingface-tokenizers","markdown_url":"https://www.graphcanon.com/tools/huggingface-tokenizers.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/huggingface-tokenizers","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=huggingface-tokenizers"},{"slug":"lightning-ai-litgpt","name":"litgpt","tagline":"High-performance LLMs with recipes for pretraining, finetuning and deployment","github_url":"https://github.com/Lightning-AI/litgpt","owner":"Lightning-AI","repo":"litgpt","owner_avatar_url":"https://avatars.githubusercontent.com/u/58386951?v=4","primary_language":"Python","stars":13605,"forks":1483,"topics":["ai","artificial-intelligence","deep-learning","large-language-models","llm","llm-inference","llms"],"archived":false,"github_pushed_at":"2026-07-20T10:24:12+00:00","maintenance_label":"Active","stars_delta_30d":137,"url":"https://www.graphcanon.com/tools/lightning-ai-litgpt","markdown_url":"https://www.graphcanon.com/tools/lightning-ai-litgpt.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/lightning-ai-litgpt","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=lightning-ai-litgpt"},{"slug":"microsoft-rd-agent","name":"RD-Agent","tagline":"Automating high-value R&D processes through AI-driven data science and model development.","github_url":"https://github.com/microsoft/RD-Agent","owner":"microsoft","repo":"RD-Agent","owner_avatar_url":"https://avatars.githubusercontent.com/u/6154722?v=4","primary_language":"Python","stars":14275,"forks":1834,"topics":["agent","ai","automation","data-mining","data-science","development","llm","research"],"archived":false,"github_pushed_at":"2026-08-04T11:50:56+00:00","maintenance_label":"Active","stars_delta_30d":332,"url":"https://www.graphcanon.com/tools/microsoft-rd-agent","markdown_url":"https://www.graphcanon.com/tools/microsoft-rd-agent.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/microsoft-rd-agent","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=microsoft-rd-agent"},{"slug":"datawhalechina-self-llm","name":"self-llm","tagline":"A guide for fine-tuning and deploying open-source large language models tailored for a Chinese audience on Linux.","github_url":"https://github.com/datawhalechina/self-llm","owner":"datawhalechina","repo":"self-llm","owner_avatar_url":"https://avatars.githubusercontent.com/u/46047812?v=4","primary_language":"Jupyter Notebook","stars":31722,"forks":3082,"topics":["chatglm","chatglm3","gemma-2b-it","glm-4","internlm2","llama3","llm","lora","minicpm","q-wen","qwen","qwen1-5","qwen2"],"archived":false,"github_pushed_at":"2026-07-30T01:58:34+00:00","maintenance_label":"Active","stars_delta_30d":412,"url":"https://www.graphcanon.com/tools/datawhalechina-self-llm","markdown_url":"https://www.graphcanon.com/tools/datawhalechina-self-llm.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/datawhalechina-self-llm","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=datawhalechina-self-llm"},{"slug":"axolotl-ai-cloud-axolotl","name":"axolotl","tagline":"Go ahead and axolotl questions","github_url":"https://github.com/axolotl-ai-cloud/axolotl","owner":"axolotl-ai-cloud","repo":"axolotl","owner_avatar_url":"https://avatars.githubusercontent.com/u/167502477?v=4","primary_language":"Python","stars":12297,"forks":1399,"topics":["fine-tuning","llm"],"archived":false,"github_pushed_at":"2026-08-01T00:50:15+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/axolotl-ai-cloud-axolotl","markdown_url":"https://www.graphcanon.com/tools/axolotl-ai-cloud-axolotl.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/axolotl-ai-cloud-axolotl","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=axolotl-ai-cloud-axolotl"},{"slug":"scikit-learn-scikit-learn","name":"scikit-learn","tagline":"machine learning in Python","github_url":"https://github.com/scikit-learn/scikit-learn","owner":"scikit-learn","repo":"scikit-learn","owner_avatar_url":"https://avatars.githubusercontent.com/u/365630?v=4","primary_language":"Python","stars":66855,"forks":27251,"topics":["data-analysis","data-science","machine-learning","python","statistics"],"archived":false,"github_pushed_at":"2026-08-01T14:27:12+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/scikit-learn-scikit-learn","markdown_url":"https://www.graphcanon.com/tools/scikit-learn-scikit-learn.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/scikit-learn-scikit-learn","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=scikit-learn-scikit-learn"},{"slug":"stefan-jansen-machine-learning-for-trading","name":"machine-learning-for-trading","tagline":"Code for Machine Learning in Trading","github_url":"https://github.com/stefan-jansen/machine-learning-for-trading","owner":"stefan-jansen","repo":"machine-learning-for-trading","owner_avatar_url":"https://avatars.githubusercontent.com/u/4275885?v=4","primary_language":"Jupyter Notebook","stars":20480,"forks":5521,"topics":["algorithmic-trading","artificial-intelligence","backtesting","data-science","deep-learning","finance","investment","investment-strategies","large-language-models","machine-learning","ml4t-workflow","polars","quantitative-finance","reinforcement-learning","synthetic-data","trading","trading-agent","trading-strategies"],"archived":false,"github_pushed_at":"2026-08-16T12:45:53+00:00","maintenance_label":"Very active","stars_delta_30d":549,"url":"https://www.graphcanon.com/tools/stefan-jansen-machine-learning-for-trading","markdown_url":"https://www.graphcanon.com/tools/stefan-jansen-machine-learning-for-trading.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/stefan-jansen-machine-learning-for-trading","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=stefan-jansen-machine-learning-for-trading"},{"slug":"wandb-wandb","name":"wandb","tagline":"Weights & Biases platform for model training and management","github_url":"https://github.com/wandb/wandb","owner":"wandb","repo":"wandb","owner_avatar_url":"https://avatars.githubusercontent.com/u/26401354?v=4","primary_language":"Python","stars":11213,"forks":880,"topics":["ai","collaboration","data-science","data-versioning","deep-learning","experiment-track","hyperparameter-optimization","hyperparameter-search","hyperparameter-tuning","jax","keras","machine-learning","ml-platform","mlops","model-versioning","pytorch","reinforcement-learning","reproducibility","tensorflow"],"archived":false,"github_pushed_at":"2026-08-03T01:23:32+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/wandb-wandb","markdown_url":"https://www.graphcanon.com/tools/wandb-wandb.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/wandb-wandb","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=wandb-wandb"},{"slug":"google-langextract","name":"langextract","tagline":"A Python library for extracting structured information from unstructured text using LLMs.","github_url":"https://github.com/google/langextract","owner":"google","repo":"langextract","owner_avatar_url":"https://avatars.githubusercontent.com/u/1342004?v=4","primary_language":"Python","stars":38400,"forks":2693,"topics":["gemini","gemini-ai","gemini-api","gemini-flash","gemini-pro","information-extration","large-language-models","llm","nlp","python","structured-data"],"archived":false,"github_pushed_at":"2026-08-11T15:31:39+00:00","maintenance_label":"Very active","stars_delta_30d":1241,"url":"https://www.graphcanon.com/tools/google-langextract","markdown_url":"https://www.graphcanon.com/tools/google-langextract.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/google-langextract","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=google-langextract"},{"slug":"lightning-ai-pytorch-lightning","name":"pytorch-lightning","tagline":"Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.","github_url":"https://github.com/Lightning-AI/pytorch-lightning","owner":"Lightning-AI","repo":"pytorch-lightning","owner_avatar_url":"https://avatars.githubusercontent.com/u/58386951?v=4","primary_language":"Python","stars":31267,"forks":3768,"topics":["ai","artificial-intelligence","data-science","deep-learning","machine-learning","python","pytorch"],"archived":false,"github_pushed_at":"2026-08-03T01:13:09+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/lightning-ai-pytorch-lightning","markdown_url":"https://www.graphcanon.com/tools/lightning-ai-pytorch-lightning.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/lightning-ai-pytorch-lightning","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=lightning-ai-pytorch-lightning"},{"slug":"juicedata-juicefs","name":"juicefs","tagline":"Distributed POSIX file system built on Redis and S3","github_url":"https://github.com/juicedata/juicefs","owner":"juicedata","repo":"juicefs","owner_avatar_url":"https://avatars.githubusercontent.com/u/27241737?v=4","primary_language":"Go","stars":14263,"forks":1263,"topics":["bigdata","cloud-native","distributed-systems","filesystem","go","golang","hdfs","object-storage","posix","redis","s3","storage"],"archived":false,"github_pushed_at":"2026-08-03T10:27:42+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/juicedata-juicefs","markdown_url":"https://www.graphcanon.com/tools/juicedata-juicefs.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/juicedata-juicefs","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=juicedata-juicefs"},{"slug":"langgptai-langgpt","name":"LangGPT","tagline":"A pioneering framework for structured & meta-prompt design","github_url":"https://github.com/langgptai/LangGPT","owner":"langgptai","repo":"LangGPT","owner_avatar_url":"https://avatars.githubusercontent.com/u/165652569?v=4","primary_language":"Jupyter Notebook","stars":12378,"forks":936,"topics":["chatgpt","claude","deeplearning","doubao","framework","gemini","gpt-4","gpt3-prompts","langgpt","meta-prompting","prompt","prompt-engineering","qwen","structured-prompts"],"archived":false,"github_pushed_at":"2026-07-16T14:03:09+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/langgptai-langgpt","markdown_url":"https://www.graphcanon.com/tools/langgptai-langgpt.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/langgptai-langgpt","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=langgptai-langgpt"},{"slug":"opendataloader-project-opendataloader-pdf","name":"opendataloader-pdf","tagline":"PDF Parser for AI-ready data","github_url":"https://github.com/opendataloader-project/opendataloader-pdf","owner":"opendataloader-project","repo":"opendataloader-pdf","owner_avatar_url":"https://avatars.githubusercontent.com/u/211280852?v=4","primary_language":"Java","stars":28528,"forks":2724,"topics":["a11y","accessibility","ai","bounding-box","document-parsing","eaa","html","json","markdown","ocr","ocr-recognition","pdf","pdf-accessibility","pdf-converter","pdf-extraction","pdf-parser","pdf-ua","rag","tables","tagged-pdf"],"archived":false,"github_pushed_at":"2026-08-18T04:01:45+00:00","maintenance_label":"Very active","stars_delta_30d":1078,"url":"https://www.graphcanon.com/tools/opendataloader-project-opendataloader-pdf","markdown_url":"https://www.graphcanon.com/tools/opendataloader-project-opendataloader-pdf.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/opendataloader-project-opendataloader-pdf","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=opendataloader-project-opendataloader-pdf"},{"slug":"alexsjones-llmfit","name":"llmfit","tagline":"Hundreds of models & providers. One command to find what runs on your hardware.","github_url":"https://github.com/AlexsJones/llmfit","owner":"AlexsJones","repo":"llmfit","owner_avatar_url":"https://avatars.githubusercontent.com/u/1235925?v=4","primary_language":"Rust","stars":31867,"forks":1978,"topics":["gguf","llm","localai","mlx","skill","unsloth"],"archived":false,"github_pushed_at":"2026-08-14T07:36:41+00:00","maintenance_label":"Very active","stars_delta_30d":2339,"url":"https://www.graphcanon.com/tools/alexsjones-llmfit","markdown_url":"https://www.graphcanon.com/tools/alexsjones-llmfit.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/alexsjones-llmfit","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=alexsjones-llmfit"},{"slug":"kalyanks-nlp-llm-engineer-toolkit","name":"llm-engineer-toolkit","tagline":"A curated list of over 120 LLM libraries categorized.","github_url":"https://github.com/KalyanKS-NLP/llm-engineer-toolkit","owner":"KalyanKS-NLP","repo":"llm-engineer-toolkit","owner_avatar_url":"https://avatars.githubusercontent.com/u/202506543?v=4","primary_language":null,"stars":10767,"forks":1682,"topics":["ai-engineer","generative-ai","large-language-models","llm-engineer","llms"],"archived":false,"github_pushed_at":"2026-08-16T13:05:43+00:00","maintenance_label":"Very active","stars_delta_30d":106,"url":"https://www.graphcanon.com/tools/kalyanks-nlp-llm-engineer-toolkit","markdown_url":"https://www.graphcanon.com/tools/kalyanks-nlp-llm-engineer-toolkit.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/kalyanks-nlp-llm-engineer-toolkit","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=kalyanks-nlp-llm-engineer-toolkit"},{"slug":"openrlhf-openrlhf","name":"OpenRLHF","tagline":"Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray","github_url":"https://github.com/OpenRLHF/OpenRLHF","owner":"OpenRLHF","repo":"OpenRLHF","owner_avatar_url":"https://avatars.githubusercontent.com/u/175771028?v=4","primary_language":"Python","stars":9891,"forks":996,"topics":["large-language-models","proximal-policy-optimization","raylib","reinforcement-learning","reinforcement-learning-from-human-feedback","transformers","visual-language-models","vllm"],"archived":false,"github_pushed_at":"2026-07-14T01:57:21+00:00","maintenance_label":"Active","stars_delta_30d":132,"url":"https://www.graphcanon.com/tools/openrlhf-openrlhf","markdown_url":"https://www.graphcanon.com/tools/openrlhf-openrlhf.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/openrlhf-openrlhf","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=openrlhf-openrlhf"},{"slug":"skypilot-org-skypilot","name":"skypilot","tagline":"Run, manage, and scale AI workloads on any AI infrastructure.","github_url":"https://github.com/skypilot-org/skypilot","owner":"skypilot-org","repo":"skypilot","owner_avatar_url":"https://avatars.githubusercontent.com/u/109387420?v=4","primary_language":"Python","stars":10456,"forks":1175,"topics":["cloud-computing","cloud-management","cost-optimization","deep-learning","distributed-training","gpu","hyperparameter-tuning","job-queue","job-scheduler","llm-serving","llm-training","machine-learning","ml-infrastructure","ml-platform","mlops","multicloud","slurm","spot-instances","tpu"],"archived":false,"github_pushed_at":"2026-08-07T10:25:54+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/skypilot-org-skypilot","markdown_url":"https://www.graphcanon.com/tools/skypilot-org-skypilot.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/skypilot-org-skypilot","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=skypilot-org-skypilot"},{"slug":"nvidia-megatron-lm","name":"Megatron-LM","tagline":"Ongoing research training transformer models at scale","github_url":"https://github.com/NVIDIA/Megatron-LM","owner":"NVIDIA","repo":"Megatron-LM","owner_avatar_url":"https://avatars.githubusercontent.com/u/1728152?v=4","primary_language":"Python","stars":17341,"forks":4333,"topics":["large-language-models","model-para","transformers"],"archived":false,"github_pushed_at":"2026-08-06T23:12:52+00:00","maintenance_label":"Very active","stars_delta_30d":353,"url":"https://www.graphcanon.com/tools/nvidia-megatron-lm","markdown_url":"https://www.graphcanon.com/tools/nvidia-megatron-lm.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/nvidia-megatron-lm","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=nvidia-megatron-lm"},{"slug":"nvidia-nemo-speech","name":"Speech","tagline":"A scalable generative AI framework for Speech AI","github_url":"https://github.com/NVIDIA-NeMo/Speech","owner":"NVIDIA-NeMo","repo":"Speech","owner_avatar_url":"https://avatars.githubusercontent.com/u/213689629?v=4","primary_language":"Python","stars":17940,"forks":3533,"topics":["asr","deeplearning","generative-ai","machine-translation","neural-networks","speaker-diariazation","speaker-recognition","speech-synthesis","speech-translation","tts"],"archived":false,"github_pushed_at":"2026-08-07T05:34:13+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/nvidia-nemo-speech","markdown_url":"https://www.graphcanon.com/tools/nvidia-nemo-speech.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/nvidia-nemo-speech","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=nvidia-nemo-speech"},{"slug":"avaiga-taipy","name":"taipy","tagline":"Turns Data and AI algorithms into production-ready web applications in no time.","github_url":"https://github.com/Avaiga/taipy","owner":"Avaiga","repo":"taipy","owner_avatar_url":"https://avatars.githubusercontent.com/u/86434771?v=4","primary_language":"Python","stars":19412,"forks":1994,"topics":["automation","data-engineering","data-integration","data-ops","data-visualization","datascience","developer-tools","hacktoberfest","hacktoberfest2023","job-scheduler","mlops","orchestration","pipeline","pipelines","python","scenario","scenario-analysis","taipy-core","taipy-gui","workflow"],"archived":false,"github_pushed_at":"2026-08-05T16:26:39+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/avaiga-taipy","markdown_url":"https://www.graphcanon.com/tools/avaiga-taipy.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/avaiga-taipy","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=avaiga-taipy"},{"slug":"aws-amazon-sagemaker-examples","name":"amazon-sagemaker-examples","tagline":"Jupyter notebooks for building, training, and deploying ML models using Amazon SageMaker","github_url":"https://github.com/aws/amazon-sagemaker-examples","owner":"aws","repo":"amazon-sagemaker-examples","owner_avatar_url":"https://avatars.githubusercontent.com/u/2232217?v=4","primary_language":"Jupyter Notebook","stars":10984,"forks":6961,"topics":["aws","data-science","deep-learning","examples","inference","jupyter-notebook","machine-learning","mlops","reinforcement-learning","sagemaker","training"],"archived":false,"github_pushed_at":"2026-07-30T22:05:30+00:00","maintenance_label":"Active","stars_delta_30d":13,"url":"https://www.graphcanon.com/tools/aws-amazon-sagemaker-examples","markdown_url":"https://www.graphcanon.com/tools/aws-amazon-sagemaker-examples.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/aws-amazon-sagemaker-examples","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=aws-amazon-sagemaker-examples"}]}}