A knowledge graph and meta-learning framework for context-aware automated feature engineering
GitHub repository with 24 stars and 15 forks.
Language: Python
Topics: automl, data-science, feature-engineering, knowledge-graph, machine-learning, meta-learning, python, scikit-learn
2026-06-05: 24 stars and 15 forks.
Fast and Accurate ML in 3 Lines of Code
GitHub repository with 10,450 stars and 1,158 forks.
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Language: Python
Topics: autogluon, automated-machine-learning, automl, computer-vision, data-science, deep-learning
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
GitHub repository with 1,230 stars and 466 forks.
Trending score: 0.25; stars gained: +0; forks gained: +0.
Language: Python
Topics: openvino, computer-vision, deep-learning, pytorch, neural-networks-compression, quantization
Can LLMs beat classical HPO? A benchmark comparing classical, LLM-based, and hybrid methods on Karpathy's autoresearch.
GitHub repository with 38 stars and 4 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Python
Topics: automl, autoresearch, benchmark, cma-es, hyperparameter-optimization, llambo
The agent that grows with you
GitHub repository with 182,659 stars and 31,317 forks.
Trending score: 5.95; stars gained: +1,867; forks gained: +361.
Language: Python
Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GitHub repository with 27,643 stars and 2,276 forks.
Trending score: 5.52; stars gained: +1,079; forks gained: +89.
Language: Python
Topics: academic-pipeline, academic-writing, ai-research, claude, claude-code, literature-review
Learn it. Build it. Ship it for others.
GitHub repository with 28,711 stars and 4,695 forks.
Trending score: 5.32; stars gained: +1,261; forks gained: +238.
Language: Python
Topics: agents, ai, ai-agents, ai-engineering, computer-vision, course
An opinionated list of Python frameworks, libraries, tools, and resources
GitHub repository with 301,435 stars and 28,046 forks.
Trending score: 4.60; stars gained: +518; forks gained: +24.
Language: Python
Topics: awesome, collections, python, python-frameworks, python-libraries, python-tools
Use claude-code for free in the terminal, VSCode extension or discord like OpenClaw (voice supported)
GitHub repository with 32,540 stars and 4,942 forks.
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Language: Python
The agent engineering platform.
GitHub repository with 138,587 stars and 22,961 forks.
Trending score: 4.53; stars gained: +171; forks gained: +31.
Language: Python
Topics: agents, ai, ai-agents, anthropic, chatgpt, deepagents
Fast and Accurate ML in 3 Lines of Code
GitHub repository with 10,450 stars and 1,158 forks.
Trending score: 1.01; stars gained: +10; forks gained: +2.
Language: Python
Topics: autogluon, automated-machine-learning, automl, computer-vision, data-science, deep-learning
Java and Kotlin Code samples used on cloud.google.com
GitHub repository with 1,890 stars and 2,886 forks.
Trending score: 0.61; stars gained: +1; forks gained: -1.
Language: Java
Topics: java, kotlin, appengine, auth, automl, cdn
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
GitHub repository with 1,230 stars and 466 forks.
Trending score: 0.25; stars gained: +0; forks gained: +0.
Language: Python
Topics: openvino, computer-vision, deep-learning, pytorch, neural-networks-compression, quantization
Can LLMs beat classical HPO? A benchmark comparing classical, LLM-based, and hybrid methods on Karpathy's autoresearch.
GitHub repository with 38 stars and 4 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Python
Topics: automl, autoresearch, benchmark, cma-es, hyperparameter-optimization, llambo
Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.
GitHub repository with 734 stars and 289 forks.
Trending score: 0.04.
Language: Jupyter Notebook
Topics: samples, google-cloud-platform, vertex-ai, notebook, ml, genai