krisrs1128/stat479_notes
Course notes for Undergraduate Interpretable Machine Learning at UW-Madison.
GitHub repository with 6 stars and 3 forks.
Language: HTML
Topics: explainable-ai, interpretability, machine-learning, statistics
Course notes for Undergraduate Interpretable Machine Learning at UW-Madison.
GitHub repository with 6 stars and 3 forks.
Language: HTML
Topics: explainable-ai, interpretability, machine-learning, statistics
2026-06-05: 6 stars and 3 forks.
AI Agent 学习路线与资料库收集
GitHub repository with 2,856 stars and 285 forks.
Trending score: 4.01; stars gained: +285; forks gained: +24.
Language: HTML
🪧 Claude Code / Codex skill — generate Xiaohongshu carousels & WeChat 21:9+1:1 cover pairs. Editorial × Swiss visual systems, 28 layouts, 10 themes, single-file HTML → PNG. 小红书图文 + 公众号封面对
GitHub repository with 2,923 stars and 271 forks.
Trending score: 3.95; stars gained: +132; forks gained: +8.
Language: HTML
Topics: agent-skill, ai-agent, anthropic, claude-code, claude-skill, codex
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
GitHub repository with 163,314 stars and 21,223 forks.
Trending score: 3.59; stars gained: +95; forks gained: +10.
Language: HTML
✨ The agentic HTML editor — your local AI agent writes the HTML, you ship it. 🚀 75 Skills × 9 Surfaces (magazine · deck · poster · XHS / tweet · prototype · data report · Hyperframes) 🛡️ Sandboxed preview · 📤 1-click to WeChat / X / Zhihu / HTML / PNG 🔑 Zero API key — Claude Code / Cursor / Codex / Gemini / Copilot / OpenCode / Qwen / Aider.
GitHub repository with 6,122 stars and 599 forks.
Trending score: 3.48; stars gained: +77; forks gained: +10.
Language: HTML
Topics: agent-skills, agentic, ai-agents, ai-design, ai-editor, byok
Programmatic video for coding agents — turn HTML, CSS & data into real MP4s on your laptop. Pluggable render engines, 21 templates, AI soundtrack. Apache-2.0, no per-render fees. An official project by the Open Design team.
GitHub repository with 1,046 stars and 106 forks.
Trending score: 2.77; stars gained: +577; forks gained: +56.
Language: HTML
Topics: ai-agent, apache-2, coding-agent, css, ffmpeg, html
Hold a key, speak, release — AI-polished text appears at your cursor in any app. Open-source voice input for macOS & Windows. (按住快捷键说话,松开即得润色后的文字)
GitHub repository with 2,136 stars and 164 forks.
Trending score: 2.75; stars gained: +25; forks gained: +1.
Language: HTML
Topics: ai-prompt, asr, dictation, linux, llm, macos
AI on the way. An auto deep learning pipe dream. An RDBMS approach to deep learning. Declarative, explainable, scalable, optimizable, easy to deploy, all that good stuff.
GitHub repository with 1,824 stars and 64 forks.
Trending score: 0.23; stars gained: +0; forks gained: +0.
Language: Python
Topics: pytorch, lazy-evaluation, python, compiler, neural-architecture-search, relational-algebra
User documentation for KServe.
GitHub repository with 112 stars and 179 forks.
Trending score: 0.05; stars gained: +0; forks gained: +1.
Language: MDX
Topics: canary-deployment, cloud-native, documentation, drift-detection, explainable-ai, hacktoberfest
GEMEX is a novel, model-agnostic Explainable AI (XAI) library grounded in Riemannian information geometry and differential geometry. It treats a trained model as defining a statistical manifold equipped with the Fisher Information Metric and derives all explanations from the intrinsic geometry of that manifold.
GitHub repository with 7 stars and 0 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: Python
Topics: differential-geometry, explainable-ai, explainable-artificial-intelligence, explainable-machine-learning, explainable-ml, manifold
A minimal graph engine for grounded AI — records, associates, and retrieves, but never invents. Written in Rust.
GitHub repository with 12 stars and 2 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: Rust
Topics: deterministic, rust, embedded-database, explainable-ai, graph-database, mcp
Fit interpretable models. Explain blackbox machine learning.
GitHub repository with 6,867 stars and 784 forks.
Trending score: 0.03; stars gained: +0; forks gained: +0.
Language: C++
Topics: ai, artificial-intelligence, bias, blackbox, differential-privacy, explainability
The official open-source JSON Schema for RBI FREE-AI compliance and Sovereign IndiaAI logic traceability
GitHub repository with 5 stars and 0 forks.
Trending score: 0.00; stars gained: +0; forks gained: +0.
Topics: 7-sutras, ai, ai-governance, ai-safety, explainable-ai, indiaai