A Multi-Operator Equivariant Framework for High-Performance Machine Learning Force Fields, supporting External Fields embedding and Physical Tensors prediction.
GitHub repository with 17 stars and 1 forks.
Language: Python
Topics: active-learning, ai4science, cartesian-product, chemistry-molecule, equivariant-representations, longrange, machine-learning
2026-06-04: 17 stars and 1 forks.
Active learning for systematic reviews
GitHub repository with 915 stars and 165 forks.
Trending score: 0.60; stars gained: +3; forks gained: +0.
Language: Python
Topics: systematic-reviews, systematic-literature-reviews, deep-learning, active-learning, research, utrecht-university
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
The agent that grows with you
GitHub repository with 180,642 stars and 30,980 forks.
Trending score: 5.79; stars gained: +1,360; forks gained: +322.
Language: Python
Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude
SkillOpt is a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits, validation-gated updates, and deployable best_skill.md artifacts.
GitHub repository with 4,878 stars and 485 forks.
Trending score: 4.55; stars gained: +340; forks gained: +27.
Language: Python
Topics: agent-skills, self-evolving-agents
754 structured cybersecurity skills for AI agents · Mapped to 5 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND & NIST AI RMF · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 26 security domains · Apache 2.0
GitHub repository with 13,233 stars and 1,551 forks.
Trending score: 4.53; stars gained: +301; forks gained: +38.
Language: Python
Topics: ai-agents, claude-code, cybersecurity, incident-response, mitre-attack, penetration-testing
Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.
GitHub repository with 4,141 stars and 516 forks.
Trending score: 4.43; stars gained: +415; forks gained: +37.
Language: Python
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.
GitHub repository with 130,131 stars and 21,146 forks.
Trending score: 4.42; stars gained: +277; forks gained: +38.
Language: Python
Stealth Chromium that passes every bot detection test. Drop-in Playwright replacement with source-level fingerprint patches. 30/30 tests passed.
GitHub repository with 23,119 stars and 1,836 forks.
Trending score: 4.24; stars gained: +250; forks gained: +17.
Language: Python
Topics: anti-detect, bot-detection, browser-automation, chromium, cloudflare, fingerprint
INCEpTION provides a semantic annotation platform offering intelligent annotation assistance and knowledge management.
GitHub repository with 699 stars and 168 forks.
Trending score: 0.61; stars gained: +1; forks gained: +0.
Language: Java
Topics: annotation-tool, active-learning, entity-linking, java, annotation-editor, uima
Active learning for systematic reviews
GitHub repository with 915 stars and 165 forks.
Trending score: 0.60; stars gained: +3; forks gained: +0.
Language: Python
Topics: systematic-reviews, systematic-literature-reviews, deep-learning, active-learning, research, utrecht-university
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
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: gan, lstm-neural-networks, molecular-dynamics, transformer, vae, proteinconformations