Experimental design and (multi-objective) bayesian optimization.
GitHub repository with 385 stars and 48 forks.
Language: Python
Topics: active-learning, bayesian-optimization, cheminformatics, experimental-design, multiobjective-optimization
Trending score 0.05, activity score 0.05, stars gained +0, forks gained +0.
2026-06-05: 385 stars and 48 forks.
Zero-config entity resolution that scales from a CSV to 100M+ rows on a Ray cluster (verified: 100M deduped in 213s, 0.30 GB driver). Fuzzy + exact + probabilistic dedupe, identity graph, PPRL, LLM boost. Python + full TypeScript port; SQL-native in PostgreSQL & DuckDB; MCP/REST servers, dbt + Airflow recipes.
GitHub repository with 79 stars and 10 forks.
Trending score: 0.94; stars gained: +8; forks gained: +1.
Language: Python
Topics: data-engineering, data-quality, deduplication, entity-resolution, fuzzy-matching, llm
Methodology evolution engine — distill transferable principles from literature, search by problem structure
GitHub repository with 9 stars and 0 forks.
Trending score: 0.33; stars gained: +1; forks gained: +0.
Language: Python
Topics: active-learning, claude-code, knowledge-management, llm-agents, methodology, research-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
The agent that grows with you
GitHub repository with 181,904 stars and 31,210 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 13,768 stars and 870 forks.
Trending score: 5.69; stars gained: +2,829; forks gained: +175.
Language: Python
Topics: agent, ai, anthropic, compression, context-engineering, context-window
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GitHub repository with 27,484 stars and 2,256 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 28,622 stars and 4,680 forks.
Trending score: 5.32; stars gained: +1,261; forks gained: +238.
Language: Python
Topics: agents, ai, ai-agents, ai-engineering, computer-vision, course
GitHub repository with 30,029 stars and 4,231 forks.
Trending score: 4.88; stars gained: +688; forks gained: +114.
Language: Python
An opinionated list of Python frameworks, libraries, tools, and resources
GitHub repository with 301,396 stars and 28,042 forks.
Trending score: 4.60; stars gained: +518; forks gained: +24.
Language: Python
Topics: awesome, python, collections, python-frameworks, python-libraries, python-tools
Zero-config entity resolution that scales from a CSV to 100M+ rows on a Ray cluster (verified: 100M deduped in 213s, 0.30 GB driver). Fuzzy + exact + probabilistic dedupe, identity graph, PPRL, LLM boost. Python + full TypeScript port; SQL-native in PostgreSQL & DuckDB; MCP/REST servers, dbt + Airflow recipes.
GitHub repository with 79 stars and 10 forks.
Trending score: 0.94; stars gained: +8; forks gained: +1.
Language: Python
Topics: data-engineering, data-quality, deduplication, entity-resolution, fuzzy-matching, llm
INCEpTION provides a semantic annotation platform offering intelligent annotation assistance and knowledge management.
GitHub repository with 699 stars and 168 forks.
Trending score: 0.75; stars gained: +1; forks gained: +0.
Language: Java
Topics: annotation-tool, active-learning, entity-linking, java, annotation-editor, uima
Methodology evolution engine — distill transferable principles from literature, search by problem structure
GitHub repository with 9 stars and 0 forks.
Trending score: 0.33; stars gained: +1; forks gained: +0.
Language: Python
Topics: active-learning, claude-code, knowledge-management, llm-agents, methodology, research-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
List of molecules (small molecules, RNA, peptide, protein, enzymes, antibody, and PPIs) conformations and molecular dynamics (force fields) using generative artificial intelligence and deep learning
GitHub repository with 294 stars and 26 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Topics: active-learning, amber, enzymes, flow, force-fields, gan