{"data":{"node":{"slug":"joeddav-devol","name":"devol","tagline":"Genetic neural architecture search for deep learning models","github_url":"https://github.com/joeddav/devol","owner":"joeddav","repo":"devol","owner_avatar_url":"https://avatars.githubusercontent.com/u/9353833?v=4","primary_language":"Python","stars":951,"forks":114,"topics":["automl","computer-vision","deep-learning","genetic-algorithm","keras","machine-learning","neural-architecture-search"],"archived":false,"github_pushed_at":"2023-05-25T14:45:47+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/joeddav-devol","markdown_url":"https://www.graphcanon.com/tools/joeddav-devol.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/joeddav-devol","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=joeddav-devol"},"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":"automl","name":"automl"},{"slug":"computer-vision","name":"computer-vision"},{"slug":"deep-learning","name":"deep-learning"},{"slug":"genetic-algorithm","name":"genetic-algorithm"},{"slug":"keras","name":"keras"},{"slug":"machine-learning","name":"machine-learning"},{"slug":"neural-architecture-search","name":"neural-architecture-search"}],"edges":[],"neighbours":[{"slug":"optuna-optuna","name":"optuna","tagline":"A hyperparameter optimization framework","github_url":"https://github.com/optuna/optuna","owner":"optuna","repo":"optuna","owner_avatar_url":"https://avatars.githubusercontent.com/u/57251745?v=4","primary_language":"Python","stars":14603,"forks":1361,"topics":["distributed","hyperparameter-optimization","machine-learning","parallel","python"],"archived":false,"github_pushed_at":"2026-08-03T06:38:06+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/optuna-optuna","markdown_url":"https://www.graphcanon.com/tools/optuna-optuna.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/optuna-optuna","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=optuna-optuna","shared_categories":["model-training"]},{"slug":"microsoft-nni","name":"nni","tagline":"An open source AutoML toolkit for automating machine learning lifecycle","github_url":"https://github.com/microsoft/nni","owner":"microsoft","repo":"nni","owner_avatar_url":"https://avatars.githubusercontent.com/u/6154722?v=4","primary_language":"Python","stars":14363,"forks":1853,"topics":["automated-machine-learning","automl","bayesian-optimization","data-science","deep-learning","deep-neural-network","distributed","feature-engineering","hyperparameter-optimization","hyperparameter-tuning","machine-learning","machine-learning-algorithms","mlops","model-compression","nas","neural-architecture-search","neural-network","python","pytorch","tensorflow"],"archived":true,"github_pushed_at":"2024-07-03T10:55:10+00:00","maintenance_label":"Archived","url":"https://www.graphcanon.com/tools/microsoft-nni","markdown_url":"https://www.graphcanon.com/tools/microsoft-nni.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/microsoft-nni","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=microsoft-nni","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":"algorithmicsuperintelligence-openevolve","name":"openevolve","tagline":"Open-source implementation of AlphaEvolve evolutionary computation framework","github_url":"https://github.com/algorithmicsuperintelligence/openevolve","owner":"algorithmicsuperintelligence","repo":"openevolve","owner_avatar_url":"https://avatars.githubusercontent.com/u/238764598?v=4","primary_language":"Python","stars":7262,"forks":1139,"topics":["alpha-evolve","alphacode","alphaevolve","coding-agent","deepmind","deepmind-lab","discovery","distributed-evolutionary-algorithms","evolutionary-algorithms","evolutionary-computation","genetic-algorithm","genetic-algorithms","iterative-methods","iterative-refinement","llm-engineering","llm-ensemble","llm-inference","openevolve","optimize"],"archived":false,"github_pushed_at":"2026-07-18T13:16:12+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/algorithmicsuperintelligence-openevolve","markdown_url":"https://www.graphcanon.com/tools/algorithmicsuperintelligence-openevolve.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/algorithmicsuperintelligence-openevolve","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=algorithmicsuperintelligence-openevolve","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":"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":"genieincodebottle-generative-ai","name":"generative-ai","tagline":"Comprehensive resources on Generative AI including roadmaps, projects, and interview preparation","github_url":"https://github.com/genieincodebottle/generative-ai","owner":"genieincodebottle","repo":"generative-ai","owner_avatar_url":"https://avatars.githubusercontent.com/u/155415029?v=4","primary_language":"Jupyter Notebook","stars":2609,"forks":631,"topics":["agentic-ai","agentic-framework","claude","gemini","genai","genai-usecase","generative-ai","interview-questions","langchain","langgraph","large-language-model","llm-agent","llm-evaluation","mcp","model-context-protocol","multimodal","n8n","n8n-workflow","openai-api","retrieval-augmented-generation"],"archived":false,"github_pushed_at":"2026-08-24T06:24:56+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/genieincodebottle-generative-ai","markdown_url":"https://www.graphcanon.com/tools/genieincodebottle-generative-ai.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/genieincodebottle-generative-ai","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=genieincodebottle-generative-ai","shared_categories":[]},{"slug":"automl-auto-pytorch","name":"Auto-PyTorch","tagline":"Automatic architecture search and hyperparameter optimization for PyTorch","github_url":"https://github.com/automl/Auto-PyTorch","owner":"automl","repo":"Auto-PyTorch","owner_avatar_url":"https://avatars.githubusercontent.com/u/6469053?v=4","primary_language":"Python","stars":2541,"forks":303,"topics":["automl","deep-learning","pytorch","tabular-data"],"archived":false,"github_pushed_at":"2024-04-09T06:17:08+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/automl-auto-pytorch","markdown_url":"https://www.graphcanon.com/tools/automl-auto-pytorch.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/automl-auto-pytorch","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=automl-auto-pytorch","shared_categories":["model-training"]},{"slug":"d-x-y-awesome-autodl","name":"Awesome-AutoDL","tagline":"Curated list of automated deep learning resources covering AutoDL, NAS, HPO","github_url":"https://github.com/D-X-Y/Awesome-AutoDL","owner":"D-X-Y","repo":"Awesome-AutoDL","owner_avatar_url":"https://avatars.githubusercontent.com/u/9547057?v=4","primary_language":"Python","stars":2339,"forks":319,"topics":["autodl","automl","awesome","deep-learning","hyper-parameter-optimization","nas","neural-architecture-search"],"archived":false,"github_pushed_at":"2022-09-26T01:35:49+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/d-x-y-awesome-autodl","markdown_url":"https://www.graphcanon.com/tools/d-x-y-awesome-autodl.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/d-x-y-awesome-autodl","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=d-x-y-awesome-autodl","shared_categories":["model-training"]},{"slug":"google-deepmind-penzai","name":"penzai","tagline":"A JAX research toolkit for building, editing, and visualizing neural networks.","github_url":"https://github.com/google-deepmind/penzai","owner":"google-deepmind","repo":"penzai","owner_avatar_url":"https://avatars.githubusercontent.com/u/8596759?v=4","primary_language":"Python","stars":1901,"forks":70,"topics":["fine-tuning","interpretability","jax","neural-networks","visualization"],"archived":false,"github_pushed_at":"2025-06-22T05:45:13+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/google-deepmind-penzai","markdown_url":"https://www.graphcanon.com/tools/google-deepmind-penzai.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/google-deepmind-penzai","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=google-deepmind-penzai","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":"zygmuntz-hyperband","name":"hyperband","tagline":"Tuning hyperparams fast with Hyperband","github_url":"https://github.com/zygmuntz/hyperband","owner":"zygmuntz","repo":"hyperband","owner_avatar_url":"https://avatars.githubusercontent.com/u/1714767?v=4","primary_language":"Python","stars":599,"forks":73,"topics":["gradient-boosting","gradient-boosting-classifier","hyperparameter-optimization","hyperparameter-tuning","hyperparameters","machine-learning"],"archived":false,"github_pushed_at":"2018-08-15T09:21:05+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/zygmuntz-hyperband","markdown_url":"https://www.graphcanon.com/tools/zygmuntz-hyperband.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/zygmuntz-hyperband","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=zygmuntz-hyperband","shared_categories":["model-training"]}]}}