An evaluation framework for machine learning models simulating high-throughput materials discovery.
GitHub repository with 226 stars and 57 forks.
Language: Python
Topics: bayesian-optimization, convex-hull, high-throughput-search, interatomic-potential, machine-learning, materials-discovery
Trending score 0.05, activity score 0.05, stars gained +0, forks gained +0.
2026-06-02: 226 stars and 57 forks.
Experimental design and (multi-objective) bayesian optimization.
GitHub repository with 385 stars and 48 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Python
Topics: active-learning, bayesian-optimization, cheminformatics, experimental-design, multiobjective-optimization
An evaluation framework for machine learning models simulating high-throughput materials discovery.
GitHub repository with 226 stars and 57 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Python
Topics: bayesian-optimization, convex-hull, high-throughput-search, interatomic-potential, machine-learning, materials-discovery
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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.
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Language: Python
Topics: agent, ai, anthropic, compression, context-engineering, context-window
Academic Research Skills for Claude Code: research → write → review → revise → finalize
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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
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GitHub repository with 28,622 stars and 4,680 forks.
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Language: Python
Topics: agents, ai, ai-agents, ai-engineering, computer-vision, course
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Trending score: 4.88; stars gained: +688; forks gained: +114.
Language: Python
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Language: Python
Topics: awesome, python, collections, python-frameworks, python-libraries, python-tools
Experimental design and (multi-objective) bayesian optimization.
GitHub repository with 385 stars and 48 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Python
Topics: active-learning, bayesian-optimization, cheminformatics, experimental-design, multiobjective-optimization
An evaluation framework for machine learning models simulating high-throughput materials discovery.
GitHub repository with 226 stars and 57 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Python
Topics: bayesian-optimization, convex-hull, high-throughput-search, interatomic-potential, machine-learning, materials-discovery