{"data":{"node":{"slug":"tensorflow-model-optimization","name":"model-optimization","tagline":"Toolkit for optimizing ML models in Keras and TensorFlow","github_url":"https://github.com/tensorflow/model-optimization","owner":"tensorflow","repo":"model-optimization","owner_avatar_url":"https://avatars.githubusercontent.com/u/15658638?v=4","primary_language":"Python","stars":1576,"forks":346,"topics":["compression","deep-learning","keras","machine-learning","ml","model-compression","optimization","pruning","quantization","quantized-networks","quantized-neural-networks","quantized-training","sparsity","tensorflow"],"archived":false,"github_pushed_at":"2026-07-27T06:03:18+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/tensorflow-model-optimization","markdown_url":"https://www.graphcanon.com/tools/tensorflow-model-optimization.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/tensorflow-model-optimization","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=tensorflow-model-optimization"},"categories":[{"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"}],"tags":[{"slug":"compression","name":"compression"},{"slug":"deep-learning","name":"deep-learning"},{"slug":"keras","name":"keras"},{"slug":"machine-learning","name":"machine-learning"},{"slug":"ml","name":"ml"},{"slug":"model-compression","name":"model-compression"},{"slug":"optimization","name":"optimization"},{"slug":"pruning","name":"pruning"}],"edges":[{"type":"integrates_with","direction":"in","explanation":"TensorFlow Model Optimization Toolkit assists in optimizing models created within TensorFlow, addressing aspects like performance optimization for deployment and execution.","successor_context":null,"tool":{"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"}},{"type":"integrates_with","direction":"in","explanation":"TensorFlow Model Optimization can optimize models created with various frameworks, including PyTorch which is used by Ultralytics, making them compatible for inference optimization.","successor_context":null,"tool":{"slug":"ultralytics-ultralytics","name":"ultralytics","tagline":"Object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking","github_url":"https://github.com/ultralytics/ultralytics","owner":"ultralytics","repo":"ultralytics","owner_avatar_url":"https://avatars.githubusercontent.com/u/26833451?v=4","primary_language":"Python","stars":60259,"forks":11533,"topics":["computer-vision","deep-learning","image-classification","instance-segmentation","machine-learning","object-detection","object-tracking","pose-estimation","python","pytorch","rotated-object-detection","segment-anything","semantic-segmentation","tracking","ultralytics","yolo","yolo-world","yolo11","yolo26","yolov8"],"archived":false,"github_pushed_at":"2026-08-06T11:38:10+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/ultralytics-ultralytics","markdown_url":"https://www.graphcanon.com/tools/ultralytics-ultralytics.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/ultralytics-ultralytics","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=ultralytics-ultralytics"}}],"neighbours":[{"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":"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","shared_categories":["model-training"]},{"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":"Active","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","shared_categories":["model-training"]},{"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":9376,"forks":784,"topics":["dpo","evaluation","fine-tuning","gpt-oss","gpt-oss-120b","gpt-oss-20b","inference","llama","llms","open-weight","open-weight-models","open-weights","sft","slms","vlms"],"archived":false,"github_pushed_at":"2026-08-21T23:11:35+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","shared_categories":["model-training"]},{"slug":"keras-team-autokeras","name":"autokeras","tagline":"AutoML library for deep learning","github_url":"https://github.com/keras-team/autokeras","owner":"keras-team","repo":"autokeras","owner_avatar_url":"https://avatars.githubusercontent.com/u/34455048?v=4","primary_language":"Python","stars":9328,"forks":1393,"topics":["autodl","automated-machine-learning","automl","deep-learning","keras","machine-learning","neural-architecture-search","python","tensorflow"],"archived":false,"github_pushed_at":"2025-11-25T02:26:35+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/keras-team-autokeras","markdown_url":"https://www.graphcanon.com/tools/keras-team-autokeras.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/keras-team-autokeras","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=keras-team-autokeras","shared_categories":["model-training"]},{"slug":"kiln-ai-kiln","name":"Kiln","tagline":"Build, Evaluate, and Optimize AI Systems","github_url":"https://github.com/Kiln-AI/Kiln","owner":"Kiln-AI","repo":"Kiln","owner_avatar_url":"https://avatars.githubusercontent.com/u/178670964?v=4","primary_language":"Python","stars":5034,"forks":375,"topics":["ai","chain-of-thought","collaboration","dataset-generation","evals","evaluation","evaluation-framework","fine-tuning","machine-learning","macos","mcp","ml","ollama","openai","prompt","prompt-engineering","python","rlhf","synthetic-data","windows"],"archived":false,"github_pushed_at":"2026-08-23T04:24:52+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/kiln-ai-kiln","markdown_url":"https://www.graphcanon.com/tools/kiln-ai-kiln.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/kiln-ai-kiln","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=kiln-ai-kiln","shared_categories":["model-training"]},{"slug":"huaizhengzhang-ai-infra-from-zero-to-hero","name":"AI-Infra-from-Zero-to-Hero","tagline":"Awesome System for Machine Learning and LLM Infra","github_url":"https://github.com/HuaizhengZhang/AI-Infra-from-Zero-to-Hero","owner":"HuaizhengZhang","repo":"AI-Infra-from-Zero-to-Hero","owner_avatar_url":"https://avatars.githubusercontent.com/u/5894780?v=4","primary_language":null,"stars":4285,"forks":409,"topics":["ai-infra","genai","large-language-models","llmsys","mlsys","model-serving","model-training"],"archived":false,"github_pushed_at":"2025-07-25T02:24:35+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/huaizhengzhang-ai-infra-from-zero-to-hero","markdown_url":"https://www.graphcanon.com/tools/huaizhengzhang-ai-infra-from-zero-to-hero.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/huaizhengzhang-ai-infra-from-zero-to-hero","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=huaizhengzhang-ai-infra-from-zero-to-hero","shared_categories":["model-training"]},{"slug":"nyldn-claude-octopus","name":"claude-octopus","tagline":"Surface AI blindspots before you ship","github_url":"https://github.com/nyldn/claude-octopus","owner":"nyldn","repo":"claude-octopus","owner_avatar_url":"https://avatars.githubusercontent.com/u/4805949?v=4","primary_language":"Shell","stars":3962,"forks":374,"topics":["ai-agents","ai-orchestration","claude-code","claude-code-plugin","codex","copilot","developer-tools","double-diamond","gemini","multi-ai","multi-llm","ollama"],"archived":false,"github_pushed_at":"2026-08-13T23:28:23+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/nyldn-claude-octopus","markdown_url":"https://www.graphcanon.com/tools/nyldn-claude-octopus.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/nyldn-claude-octopus","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=nyldn-claude-octopus","shared_categories":[]},{"slug":"keras-team-keras-tuner","name":"keras-tuner","tagline":"A Hyperparameter Tuning Library for Keras","github_url":"https://github.com/keras-team/keras-tuner","owner":"keras-team","repo":"keras-tuner","owner_avatar_url":"https://avatars.githubusercontent.com/u/34455048?v=4","primary_language":"Python","stars":2923,"forks":404,"topics":["automl","deep-learning","hyperparameter-optimization","keras","machine-learning","tensorflow"],"archived":false,"github_pushed_at":"2025-12-01T22:23:25+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/keras-team-keras-tuner","markdown_url":"https://www.graphcanon.com/tools/keras-team-keras-tuner.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/keras-team-keras-tuner","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=keras-team-keras-tuner","shared_categories":["model-training"]},{"slug":"superlinked-sie","name":"sie","tagline":"Open-source inference server and production cluster for all the models your agent needs.","github_url":"https://github.com/superlinked/sie","owner":"superlinked","repo":"sie","owner_avatar_url":"https://avatars.githubusercontent.com/u/94243920?v=4","primary_language":"Python","stars":2804,"forks":272,"topics":["bge","colbert","data-pipeline","deep-learning","embeddings","inference","inference-server","information-retrieval","llm","ml","mlops","natural-language-processing","nlp","python","reranking","retrieval","retrieval-augmented-generation","semantic-search","splade","vector-search"],"archived":false,"github_pushed_at":"2026-08-21T20:28:04+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/superlinked-sie","markdown_url":"https://www.graphcanon.com/tools/superlinked-sie.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/superlinked-sie","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=superlinked-sie","shared_categories":[]},{"slug":"ailia-ai-ailia-models","name":"ailia-models","tagline":"Repository of pre-trained AI models for ailia SDK","github_url":"https://github.com/ailia-ai/ailia-models","owner":"ailia-ai","repo":"ailia-models","owner_avatar_url":"https://avatars.githubusercontent.com/u/55011924?v=4","primary_language":"Python","stars":2365,"forks":363,"topics":["action-recognition","anomaly-detection","audio-processing","background-removal","crowd-counting","deep-learning","embeddings","face-detection","face-recognition","fashion-ai","gan","hand-detection","image-classification","image-segmentation","llm","neural-network","object-detection","object-recognition","object-tracking","pose-estimation"],"archived":false,"github_pushed_at":"2026-08-21T11:01:27+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/ailia-ai-ailia-models","markdown_url":"https://www.graphcanon.com/tools/ailia-ai-ailia-models.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/ailia-ai-ailia-models","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=ailia-ai-ailia-models","shared_categories":["model-training"]},{"slug":"huangowen-awesome-llm-compression","name":"Awesome-LLM-Compression","tagline":"Awesome LLM compression research papers and tools to accelerate LLM training and inference.","github_url":"https://github.com/HuangOwen/Awesome-LLM-Compression","owner":"HuangOwen","repo":"Awesome-LLM-Compression","owner_avatar_url":"https://avatars.githubusercontent.com/u/24937399?v=4","primary_language":null,"stars":1859,"forks":129,"topics":[],"archived":false,"github_pushed_at":"2026-06-30T15:26:46+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/huangowen-awesome-llm-compression","markdown_url":"https://www.graphcanon.com/tools/huangowen-awesome-llm-compression.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/huangowen-awesome-llm-compression","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=huangowen-awesome-llm-compression","shared_categories":[]},{"slug":"arahim3-mlx-tune","name":"mlx-tune","tagline":"Fine-tune LLMs on your Mac with Apple Silicon for various tasks including SFT, DPO, GRPO, Vision, TTS, STT, Embedding, and OCR.","github_url":"https://github.com/ARahim3/mlx-tune","owner":"ARahim3","repo":"mlx-tune","owner_avatar_url":"https://avatars.githubusercontent.com/u/41390319?v=4","primary_language":"Python","stars":1372,"forks":88,"topics":["apple-silicon","deep-learning","huggingface","large-language-models","llm","llm-finetuning","local-llm","lora","machine-learning","macos","mlx","on-device-ai","peft","speech-recognition","speech-to-text","text-to-speech","transformers","unsloth","vision-language-model","whisper"],"archived":false,"github_pushed_at":"2026-06-23T12:24:30+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/arahim3-mlx-tune","markdown_url":"https://www.graphcanon.com/tools/arahim3-mlx-tune.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/arahim3-mlx-tune","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=arahim3-mlx-tune","shared_categories":["model-training"]}]}}