{"data":{"node":{"slug":"diagnijmegen-rse-grand-challenge","name":"rse-grand-challenge","tagline":"A platform for end-to-end development of machine learning solutions in biomedical imaging","github_url":"https://github.com/DIAGNijmegen/rse-grand-challenge","owner":"DIAGNijmegen","repo":"rse-grand-challenge","owner_avatar_url":"https://avatars.githubusercontent.com/u/25269403?v=4","primary_language":"Python","stars":192,"forks":58,"topics":["ai","challenges","computer-vision","django","django-rest-framework","docker","machine-learning","medical-imaging","python","reproducible-research"],"archived":false,"github_pushed_at":"2026-07-10T14:49:47+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/diagnijmegen-rse-grand-challenge","markdown_url":"https://www.graphcanon.com/tools/diagnijmegen-rse-grand-challenge.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/diagnijmegen-rse-grand-challenge","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=diagnijmegen-rse-grand-challenge"},"categories":[{"slug":"vector-databases","name":"Vector Databases","url":"https://www.graphcanon.com/categories/vector-databases","markdown_url":"https://www.graphcanon.com/categories/vector-databases.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/vector-databases"},{"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"},{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"}],"tags":[{"slug":"ai","name":"ai"},{"slug":"machine-learning","name":"machine-learning"},{"slug":"docker","name":"docker"},{"slug":"medical-imaging","name":"medical-imaging"},{"slug":"django-rest-framework","name":"django-rest-framework"},{"slug":"django","name":"django"},{"slug":"challenges","name":"challenges"},{"slug":"computer-vision","name":"computer-vision"}],"edges":[],"neighbours":[{"slug":"ollama-ollama","name":"ollama","tagline":"Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.","github_url":"https://github.com/ollama/ollama","owner":"ollama","repo":"ollama","owner_avatar_url":"https://avatars.githubusercontent.com/u/151674099?v=4","primary_language":"Go","stars":175908,"forks":16929,"topics":["deepseek","gemma","gemma3","glm","go","golang","gpt-oss","llama","llama3","llm","llms","minimax","mistral","ollama","qwen"],"archived":false,"github_pushed_at":"2026-07-10T00:42:15+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/ollama-ollama","markdown_url":"https://www.graphcanon.com/tools/ollama-ollama.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/ollama-ollama","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=ollama-ollama","shared_categories":["inference-serving"]},{"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":162482,"forks":33865,"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":"2026-07-11T09:59:36+00:00","maintenance_label":"Very active","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","shared_categories":["model-training","inference-serving"]},{"slug":"langflow-ai-langflow","name":"langflow","tagline":"Powerful 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":151628,"forks":9654,"topics":["agents","chatgpt","generative-ai","large-language-models","multiagent","react-flow"],"archived":false,"github_pushed_at":"2026-07-11T00:59:57+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","shared_categories":["inference-serving"]},{"slug":"open-webui-open-webui","name":"open-webui","tagline":"User-friendly AI Interface (Supports Ollama, OpenAI API, ...)","github_url":"https://github.com/open-webui/open-webui","owner":"open-webui","repo":"open-webui","owner_avatar_url":"https://avatars.githubusercontent.com/u/158137808?v=4","primary_language":"Python","stars":145029,"forks":21005,"topics":["ai","llm","llm-ui","llm-webui","llms","mcp","ollama","ollama-webui","open-webui","openai","openapi","rag","self-hosted","ui","webui"],"archived":false,"github_pushed_at":"2026-07-10T23:32:22+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/open-webui-open-webui","markdown_url":"https://www.graphcanon.com/tools/open-webui-open-webui.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/open-webui-open-webui","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=open-webui-open-webui","shared_categories":["inference-serving"]},{"slug":"ggml-org-llama-cpp","name":"llama.cpp","tagline":"LLM inference in C/C++","github_url":"https://github.com/ggml-org/llama.cpp","owner":"ggml-org","repo":"llama.cpp","owner_avatar_url":"https://avatars.githubusercontent.com/u/134263123?v=4","primary_language":"C++","stars":120002,"forks":20446,"topics":["ggml"],"archived":false,"github_pushed_at":"2026-07-11T09:39:07+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/ggml-org-llama-cpp","markdown_url":"https://www.graphcanon.com/tools/ggml-org-llama-cpp.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/ggml-org-llama-cpp","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=ggml-org-llama-cpp","shared_categories":["inference-serving"]},{"slug":"microsoft-generative-ai-for-beginners","name":"generative-ai-for-beginners","tagline":"21 Lessons, Get Started Building with Generative AI","github_url":"https://github.com/microsoft/generative-ai-for-beginners","owner":"microsoft","repo":"generative-ai-for-beginners","owner_avatar_url":"https://avatars.githubusercontent.com/u/6154722?v=4","primary_language":"Jupyter Notebook","stars":112866,"forks":60628,"topics":["ai","azure","chatgpt","dall-e","generative-ai","generativeai","gpt","language-model","llms","microsoft-for-beginners","openai","prompt-engineering","semantic-search","transformers"],"archived":false,"github_pushed_at":"2026-07-09T03:44:14+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/microsoft-generative-ai-for-beginners","markdown_url":"https://www.graphcanon.com/tools/microsoft-generative-ai-for-beginners.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/microsoft-generative-ai-for-beginners","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=microsoft-generative-ai-for-beginners","shared_categories":["model-training"]},{"slug":"deepseek-ai-deepseek-v3","name":"DeepSeek-V3","tagline":"Repository lacking description with unspecified content related to AI development.","github_url":"https://github.com/deepseek-ai/DeepSeek-V3","owner":"deepseek-ai","repo":"DeepSeek-V3","owner_avatar_url":"https://avatars.githubusercontent.com/u/148330874?v=4","primary_language":"Python","stars":103894,"forks":16732,"topics":[],"archived":false,"github_pushed_at":"2025-08-28T03:24:37+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/deepseek-ai-deepseek-v3","markdown_url":"https://www.graphcanon.com/tools/deepseek-ai-deepseek-v3.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/deepseek-ai-deepseek-v3","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=deepseek-ai-deepseek-v3","shared_categories":["inference-serving"]},{"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":98899,"forks":15183,"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":"2026-06-02T14:14:19+00:00","maintenance_label":"Steady","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","shared_categories":["model-training"]},{"slug":"deepseek-ai-deepseek-r1","name":"DeepSeek-R1","tagline":"Repository contains distilled LLM models derived from Qwen and LLaMA series for various commercial uses.","github_url":"https://github.com/deepseek-ai/DeepSeek-R1","owner":"deepseek-ai","repo":"DeepSeek-R1","owner_avatar_url":"https://avatars.githubusercontent.com/u/148330874?v=4","primary_language":null,"stars":91987,"forks":11710,"topics":[],"archived":false,"github_pushed_at":"2025-06-27T08:35:54+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/deepseek-ai-deepseek-r1","markdown_url":"https://www.graphcanon.com/tools/deepseek-ai-deepseek-r1.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/deepseek-ai-deepseek-r1","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=deepseek-ai-deepseek-r1","shared_categories":["model-training"]},{"slug":"thedotmack-claude-mem","name":"claude-mem","tagline":"Persistent Context Across Sessions for Every Agent","github_url":"https://github.com/thedotmack/claude-mem","owner":"thedotmack","repo":"claude-mem","owner_avatar_url":"https://avatars.githubusercontent.com/u/683968?v=4","primary_language":"JavaScript","stars":86816,"forks":7500,"topics":["ai","ai-agents","ai-memory","anthropic","artificial-intelligence","chromadb","claude","claude-agent-sdk","claude-agents","claude-code","claude-code-plugin","claude-skills","embeddings","long-term-memory","mem0","memory-engine","openmemory","rag","sqlite","supermemory"],"archived":false,"github_pushed_at":"2026-07-09T23:56:37+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/thedotmack-claude-mem","markdown_url":"https://www.graphcanon.com/tools/thedotmack-claude-mem.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/thedotmack-claude-mem","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=thedotmack-claude-mem","shared_categories":["inference-serving"]},{"slug":"vllm-project-vllm","name":"vllm","tagline":"A high-throughput and memory-efficient inference and serving engine for LLMs","github_url":"https://github.com/vllm-project/vllm","owner":"vllm-project","repo":"vllm","owner_avatar_url":"https://avatars.githubusercontent.com/u/136984999?v=4","primary_language":"Python","stars":85981,"forks":19271,"topics":["amd","blackwell","cuda","deepseek","deepseek-v3","gpt","gpt-oss","inference","kimi","llama","llm","llm-serving","model-serving","moe","openai","pytorch","qwen","qwen3","tpu","transformer"],"archived":false,"github_pushed_at":"2026-07-11T15:52:52+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/vllm-project-vllm","markdown_url":"https://www.graphcanon.com/tools/vllm-project-vllm.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/vllm-project-vllm","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=vllm-project-vllm","shared_categories":["inference-serving"]},{"slug":"mlabonne-llm-course","name":"llm-course","tagline":"Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.","github_url":"https://github.com/mlabonne/llm-course","owner":"mlabonne","repo":"llm-course","owner_avatar_url":"https://avatars.githubusercontent.com/u/81252890?v=4","primary_language":null,"stars":80839,"forks":9421,"topics":["course","large-language-models","llm","machine-learning","roadmap"],"archived":false,"github_pushed_at":"2026-02-05T13:09:26+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/mlabonne-llm-course","markdown_url":"https://www.graphcanon.com/tools/mlabonne-llm-course.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/mlabonne-llm-course","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=mlabonne-llm-course","shared_categories":["model-training","inference-serving"]}]}}