Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Courses, books, tutorials, paper collections and curated awesome lists.
Signals: awesome, awesome-list, tutorial, course, learning, roadmap, papers, book
1,907 results
Awesome Claude Code plugins — a curated list of slash commands, subagents, MCP servers, and hooks for Claude Code
Complete tutorial materials for building MCP servers with Docker - from NetworkChuck's video
Interactive visualizations of the geometric intuition behind diffusion models.
A curated list for awesome discrete diffusion models resources.
A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch
Systems for ML/AI & ML/AI for Systems paper reading list: A curated reading list of computer science research for work at the intersection of machine learning and systems. PR are welcome.
This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Faisal and Cheng Ong, written in python for Jupyter Notebook.
:chart_with_upwards_trend:Machine Learning code in Python3.x. （机器学习实战 py3代码整理）Some notes about the practices:（for reference only）
Official repository for CMU Machine Learning Department's 10717: "The Art of the Paper".
A repository of papers that have been presented at nPlan's machine learning paper club
mml-book-chinese《Mathematics For Machine Learning》机器学习中的数学 中文版
A curated list of Machine Learning libraries and resources for the Elixir programming language.
Online version of Bischl, B., Sonabend, R., Kotthoff, L., & Lang, M. (Eds.). (2024). "Applied Machine Learning Using mlr3 in R". CRC Press.
Official repository for CMU Machine Learning Department's 10721: "Philosophical Foundations of Machine Intelligence".
Machine Learning Toolkit accompanying The Little Learner by Daniel P. Friedman and Anurag Mendhekar
This repository is part of a "Machine Learning from Scratch" seminar at Harvard Medical School.
Lecture notebooks and coding assignments for the quantum machine learning MOOC created by Peter Wittek on EdX in the Spring 2019
Manuscript of the book "Supervised Machine Learning for Text Analysis in R" by Emil Hvitfeldt and Julia Silge
A list of paper templates in the area of machine learning.
👇 Overview of all the resources of BRIIM: JavaScript in Machine Learning
Curated list to learn the math basics for machine learning
practical introduction to Python for machine learning, with pandas and scikit-learn - Sept 2014
Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)
All notes and materials for the CS229: Machine Learning course by Stanford University
24,524 repositories in the index in total.
