INRIA/scikit-learn-mooc
Machine learning in Python with scikit-learn MOOC
GitHub repository with 1,364 stars and 596 forks.
Language: Jupyter Notebook
Topics: machine-learning, mooc, python, scikit-learn
Machine learning in Python with scikit-learn MOOC
GitHub repository with 1,364 stars and 596 forks.
Language: Jupyter Notebook
Topics: machine-learning, mooc, python, scikit-learn
2026-06-13: 1,364 stars and 596 forks.
Implement a reasoning LLM in PyTorch from scratch, step by step
GitHub repository with 4,504 stars and 662 forks.
Trending score: 2.79; stars gained: +24; forks gained: +1.
Language: Jupyter Notebook
Topics: ai, artificial-intelligence, deep-learning, large-language-models, llms, machine-learning
A game theoretic approach to explain the output of any machine learning model.
GitHub repository with 25,526 stars and 3,730 forks.
Trending score: 1.68; stars gained: +4; forks gained: +0.
Language: Jupyter Notebook
Topics: deep-learning, explainability, gradient-boosting, interpretability, machine-learning, shap
This repository helps you learn Python and Machine Learning from scratch.
GitHub repository with 2,170 stars and 918 forks.
Trending score: 1.13; stars gained: +2; forks gained: +1.
Language: Jupyter Notebook
Topics: python, jupyter-notebook, pandas-dataframe, numpy, python3, python-3
Companion code for Machine Learning From Scratch — 10 core ML algorithms built from scratch with NumPy, compared with Scikit-learn and PyTorch.
GitHub repository with 46 stars and 5 forks.
Trending score: 1.10; stars gained: +8; forks gained: +2.
Language: Jupyter Notebook
Topics: artificial-intelligence, data-science, deep-learning, education, from-scratch-implementation, from-scratch-in-python
Recipes and resources for building, deploying, and fine-tuning generative AI with Fireworks.
GitHub repository with 170 stars and 48 forks.
Trending score: 0.99; stars gained: +1; forks gained: +0.
Language: Jupyter Notebook
Topics: agentic-systems, ai-workflows, function-calling, generative-ai, integrations, jupyter-notebooks
Training material on writing machine learning code with PyTorch by ICCS
GitHub repository with 44 stars and 50 forks.
Trending score: 0.90; stars gained: +2; forks gained: +2.
Language: Jupyter Notebook
Topics: machine-learning, pytorch, teaching-materials, climate, cnn, deep-learning
NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.
GitHub repository with 10,220 stars and 666 forks.
Trending score: 4.25; stars gained: +180; forks gained: +15.
Language: Jupyter Notebook
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base.
GitHub repository with 6,342 stars and 1,128 forks.
Trending score: 3.79; stars gained: +50; forks gained: +8.
Language: Jupyter Notebook
Reference PyTorch implementation and models for DINOv3
GitHub repository with 10,678 stars and 876 forks.
Trending score: 3.14; stars gained: +70; forks gained: +6.
Language: Jupyter Notebook
Implement a reasoning LLM in PyTorch from scratch, step by step
GitHub repository with 4,504 stars and 662 forks.
Trending score: 2.79; stars gained: +24; forks gained: +1.
Language: Jupyter Notebook
Topics: ai, artificial-intelligence, deep-learning, large-language-models, llms, machine-learning
Examples and guides for using the OpenAI API
GitHub repository with 74,165 stars and 12,554 forks.
Trending score: 2.74; stars gained: +17; forks gained: +5.
Language: Jupyter Notebook
Topics: openai, chatgpt, gpt-4, openai-api
Optimize prompts, code, and more with AI-powered Reflective Text Evolution
GitHub repository with 5,146 stars and 431 forks.
Trending score: 2.72; stars gained: +18; forks gained: +6.
Language: Jupyter Notebook
Learn it. Build it. Ship it for others.
GitHub repository with 32,676 stars and 5,366 forks.
Trending score: 5.59; stars gained: +762; forks gained: +135.
Language: Python
Topics: agents, ai, ai-agents, ai-engineering, computer-vision, course
We write your reusable computer vision tools. 💜
GitHub repository with 44,280 stars and 3,936 forks.
Trending score: 4.86; stars gained: +222; forks gained: +15.
Language: Python
Topics: classification, coco, computer-vision, deep-learning, hacktoberfest, image-processing
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
GitHub repository with 32,302 stars and 2,377 forks.
Trending score: 4.21; stars gained: +197; forks gained: +21.
Language: Rust
Topics: ai-search, ai-search-engine, embeddings-similarity, hnsw, hybrid-search, image-search
Financial data platform for analysts, quants and AI agents.
GitHub repository with 69,189 stars and 6,971 forks.
Trending score: 4.20; stars gained: +206; forks gained: +22.
Language: Python
Topics: python, machine-learning, finance, stocks, quantitative-finance, economics
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
GitHub repository with 12,115 stars and 1,112 forks.
Trending score: 3.76; stars gained: +69; forks gained: +6.
Language: Python
Topics: ai-research, autonomous-agent, claude-code, codex, mcp, ml-research
Agent工程师最全学习路径 · 从零精通 AI 工程 · 20 阶段 503 课 · 中文全量翻译 + 配套站点 + 动画讲解视频 · 如何成为 AI Agent 工程师的修成指南
GitHub repository with 342 stars and 55 forks.
Trending score: 3.44; stars gained: +51; forks gained: +10.
Language: Python
Topics: agents, ai, ai-agents, ai-engineering, chinese, chinese-translation