JADBio/JADBioPythonClient
This client provides major JADBio functionality to python users using API calls. Requests are HTTP GET and POST only.
GitHub repository with 16 stars and 1 forks.
Language: Python
Topics: automl, machine-learning, python
This client provides major JADBio functionality to python users using API calls. Requests are HTTP GET and POST only.
GitHub repository with 16 stars and 1 forks.
Language: Python
Topics: automl, machine-learning, python
2026-06-05: 16 stars and 1 forks.
Fast and Accurate ML in 3 Lines of Code
GitHub repository with 10,448 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
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
Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.
GitHub repository with 79 stars and 20 forks.
Trending score: 0.05.
Language: Python
Topics: deep-learning, hyperparameter-optimization, neural-architecture-search, neural-pipeline-search, automl
A knowledge graph and meta-learning framework for context-aware automated feature engineering
GitHub repository with 24 stars and 15 forks.
Trending score: 0.00.
Language: Python
Topics: automl, data-science, feature-engineering, knowledge-graph, machine-learning, meta-learning
The agent that grows with you
GitHub repository with 181,303 stars and 31,111 forks.
Trending score: 5.95; stars gained: +1,867; forks gained: +361.
Language: Python
Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
GitHub repository with 12,930 stars and 833 forks.
Trending score: 5.69; stars gained: +2,829; forks gained: +175.
Language: Python
Topics: agent, ai, anthropic, claude-code, compression, context-engineering
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GitHub repository with 27,327 stars and 2,249 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
GitHub repository with 29,986 stars and 4,219 forks.
Trending score: 4.88; stars gained: +688; forks gained: +114.
Language: Python
Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.
GitHub repository with 4,221 stars and 528 forks.
Trending score: 4.88; stars gained: +476; forks gained: +68.
Language: Python
An opinionated list of Python frameworks, libraries, tools, and resources
GitHub repository with 301,315 stars and 28,045 forks.
Trending score: 4.60; stars gained: +518; forks gained: +24.
Language: Python
Topics: awesome, python, collections, python-frameworks, python-libraries, python-tools
Fast and Accurate ML in 3 Lines of Code
GitHub repository with 10,448 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
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
GitHub repository with 4,363 stars and 560 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: Jupyter Notebook
Topics: automl, hyperparam, automated-machine-learning, machine-learning, data-science, python
Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.
GitHub repository with 79 stars and 20 forks.
Trending score: 0.05.
Language: Python
Topics: deep-learning, hyperparameter-optimization, neural-architecture-search, neural-pipeline-search, automl