A simple python implementation of the Maximal Marginal Relevance (MMR) baseline system for text summarization.
GitHub repository with 67 stars and 42 forks.
Language: Python
Topics: natural-language-processing, mmr, lexrank, rouge-evaluation, multi-document-summarization, jaccard-coefficient-scores, machine-learning, text-summarization
2026-06-04: 67 stars and 42 forks.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
GitHub repository with 161,281 stars and 33,412 forks.
Trending score: 2.96; stars gained: +38; forks gained: +8.
Language: Python
Topics: nlp, natural-language-processing, pytorch, pytorch-transformers, transformer, model-hub
Fast and Accurate ML in 3 Lines of Code
GitHub repository with 10,447 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
Fast, lossless LLM inference via dual-view diffusion decoding.
GitHub repository with 408 stars and 15 forks.
Trending score: 0.78; stars gained: +6; forks gained: +0.
Language: Python
Topics: diffusion-language-models, efficient-inference, large-language-models, llm, llm-efficiency, model-architecture
Active learning for systematic reviews
GitHub repository with 917 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
Various Algorithms for Short Text Mining
GitHub repository with 471 stars and 74 forks.
Trending score: 0.19; stars gained: +0; forks gained: +0.
Language: Python
Topics: algorithm, machine-learning, natural-language-processing, neural-network, package, python
Fast and robust date extraction from web pages, with Python or on the command-line
GitHub repository with 150 stars and 30 forks.
Trending score: 0.19; stars gained: +0; forks gained: +0.
Language: Python
Topics: metadata-extraction, date-parser, entity-extraction, natural-language-processing, nlp, web-scraping
The agent that grows with you
GitHub repository with 180,762 stars and 31,001 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 4,887 stars and 486 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 4,166 stars and 523 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
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
GitHub repository with 161,281 stars and 33,412 forks.
Trending score: 2.96; stars gained: +38; forks gained: +8.
Language: Python
Topics: nlp, natural-language-processing, pytorch, pytorch-transformers, transformer, model-hub
Extracted system prompts from Anthropic - Claude Code, Claude Design, Opus 4.8, Sonnet 4.6. OpenAI - ChatGPT 5.5 Thinking, GPT 5.5 Instant, Codex, Google - Gemini - 3.5 Flash, 3.1 Pro, Antigravity, xAI - Grok, Cursor, Copilot, VS Code, Perplexity, and more. Updated regularly.
GitHub repository with 41,252 stars and 6,837 forks.
Trending score: 1.95; stars gained: +100; forks gained: +12.
Language: JavaScript
Topics: ai, anthropic, awesome, chatbot, chatgpt, claude
Fast and Accurate ML in 3 Lines of Code
GitHub repository with 10,447 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
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
GitHub repository with 10,329 stars and 3,235 forks.
Trending score: 0.83; stars gained: +6; forks gained: +2.
Language: C++
Topics: inference, deep-learning, openvino, ai, computer-vision, diffusion-models
Fast, lossless LLM inference via dual-view diffusion decoding.
GitHub repository with 408 stars and 15 forks.
Trending score: 0.78; stars gained: +6; forks gained: +0.
Language: Python
Topics: diffusion-language-models, efficient-inference, large-language-models, llm, llm-efficiency, model-architecture
Active learning for systematic reviews
GitHub repository with 917 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