AI/ML Tutorials1166 / 844 projects

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

cs-video-courses (⭐82.3K), is a leading open-source project in Learning & Resources, built with AI, focusing on algorithms, with bioinformatics capabilities, a benchmark project in its domain, ideal for open_source AI development workflows.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

awesome-scalability (⭐72.3K), is a leading open-source project in Learning & Resources, built with AI, focusing on architecture, with awesome capabilities, a benchmark project in its domain, ideal for open_source AI development workflows.

The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

100 Days of ML Coding

Learn how to develop, deploy and iterate on production-grade ML applications.

Learn it. Build it. Ship it for others.

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

吴恩达老师的机器学习课程个人笔记

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

10 Weeks, 20 Lessons, Data Science for All!

500 AI Machine learning Deep learning Computer vision NLP Projects with code

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

深度学习经典、新论文逐段精读

PyTorch Tutorial for Deep Learning Researchers

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

Roadmap to becoming an Artificial Intelligence Expert in 2022

:memo: An awesome Data Science repository to learn and apply for real world problems.

A curated list of awesome Deep Learning tutorials, projects and communities.

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

deep learning for image processing including classification and object-detection etc.

The most cited deep learning papers

南瓜书：《机器学习》（西瓜书）公式详解

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.

Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】

Learn OpenCV : C++ and Python Examples

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

CVPR 2026 论文和开源项目合集

Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

100-Days-Of-ML-Code中文版

Best Practices on Recommendation Systems

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

VIP cheatsheets for Stanford's CS 229 Machine Learning

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

邱锡鹏《神经网络与深度学习》（蒲公英书）理论书 v2 与通识版

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

程序员鱼皮的 AI 资源大全 + Vibe Coding 零基础教程，分享 OpenClaw 保姆级教程、大模型玩法（DeepSeek / GPT / Gemini / Claude / GLM）、最新 AI 资讯、Prompt 提示词大全、AI 知识百科（Agent Skills / RAG / MCP / A2A）、AI 编程教程（Harness Engineering）、AI 工具用法（Cursor / Claude Code / TRAE / Codex / Copilot）、AI 开发框架教程（Spring AI / LangChain）、AI 产品变现指南，帮你快速掌握 AI 技术，走在时代前沿。本项目为开源文档 aiguide，已升级为鱼皮 AI 导航网站

machine learning and deep learning tutorials, articles and other resources

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

深度学习入门教程, 优秀文章, Deep Learning Tutorial

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

📺 Discover the latest machine learning / AI courses on YouTube.

《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Machine learning, in numpy

:satellite: Simple and ready-to-use tutorials for TensorFlow

Oxford Deep NLP 2017 course

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

Free MLOps course from DataTalks.Club

Your new Mentor for Data Science E-Learning.

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

A curated list of awesome big data frameworks, ressources and other awesomeness.

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

A curated list of references for MLOps

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

机器学习相关教程

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

🔥Highlighting the top ML papers every week.

The "Python Machine Learning (1st edition)" book code repository and info resource

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

A collection of resources and papers on Diffusion Models

Python 开源项目之「自学编程之路」，保姆级教程：AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

Minimal and clean examples of machine learning algorithms implementations

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Open Machine Learning Course

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

Techniques for deep learning with satellite & aerial imagery

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

Data science interview questions and answers

A unified framework for machine learning with time series

Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!

TensorFlow Tutorials with YouTube Videos

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

:octocat: Machine Learning for Cyber Security

A collection of machine learning examples and tutorials.

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

Lab Materials for MIT 6.S191: Introduction to Deep Learning

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

TensorFlow tutorials and best practices.

A resource for learning about Machine learning & Deep Learning

Build your neural network easy and fast, 莫烦Python中文教学

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

Trax — Deep Learning with Clear Code and Speed

StarCraft II Learning Environment

告别枯燥，致力于打造 Python 实用小例子，更多Python良心教程见 https://ai-jupyter.com

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续纠错，纠错多的同学还会有赠书！

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

The "Python Machine Learning (2nd edition)" book code repository and info resource

Python code for "Probabilistic Machine learning" book by Kevin Murphy

:speech_balloon: Machine Learning Course with Python:

A log of things I'm learning

AI实战-practicalAI 中文版

Reading list for research topics in multimodal machine learning

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

All course materials for the Zero to Mastery Machine Learning and Data Science course.

🎓 Sharing machine learning course / lecture notes.

Cool links & research papers related to Machine Learning applied to source code (MLonCode)

Awesome paper list with code about generative adversarial nets

A course in reinforcement learning in the wild

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

RSTutorials: A Curated List of Must-read Papers on Recommender System.

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

Natural Language Processing Best Practices & Examples

A curated list of awesome self-supervised methods

🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

TensorFlow documentation

A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

A list of popular github projects related to deep learning

Code for Tensorflow Machine Learning Cookbook

This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc

Matlab code of machine learning algorithms in book PRML

A curated list of project tutorials for project-based learning.

AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

2027 AI/ML internship & new graduate job list updated daily

:alarm_clock: AI conference deadline countdowns

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

Learn AI and LLMs from scratch using free resources

A curated list of Artificial Intelligence Top Tools

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

Claude Code + OpenClaw + Codex 中文教程 | 39篇完整教程 + 1张速查卡 | 80万+内容量 | 1500+实操示例 | AI Coding / Agent 三线学习路径

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

Code Repository for Machine Learning with PyTorch and Scikit-Learn

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2026 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

:sunglasses: A curated list of awesome MLOps tools

This repository is a compilation of free resources for learning Data Science.

An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

The "Python Machine Learning (3rd edition)" book code repository

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

This repo contains the Hugging Face Deep Reinforcement Learning Course.

List of telegram groups, channels & bots // Список интересных групп, каналов и ботов телеграма // Список чатов для программистов

The 3rd edition of course.fast.ai

Machine Learning and Agentic AI Resources, Practice and Research

Implement a reasoning LLM in PyTorch from scratch, step by step

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

《Machine Learning Systems: Design and Implementation》 (V2 is launching soon）

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

【干货】史上最全的PyTorch学习资源汇总

数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.

A curated list of awesome Jupyter projects, libraries and resources

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

:satellite: All You Need to Know About Deep Learning - A kick-starter

Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%

《大语言模型》作者：赵鑫，李军毅，周昆，唐天一，文继荣

Curated tutorials and resources for Large Language Models, AI Painting, and more.

Learn AI/ML for beginners with a roadmap and free resources.

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

:earth_americas: Simple and ready-to-use tutorials for TensorFlow

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

A curated list of reinforcement learning with human feedback resources (continually updated)

Plain python implementations of basic machine learning algorithms

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

Papers on Computational Advertising

A curated list of awesome data labeling tools

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.