Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
- gpt
- large-language-models
- llm
- python
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Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Learn how to develop, deploy and iterate on production-grade ML applications.
Translated✅ (Completed) Super comprehensive deep learning notes [Tudui PyTorch] [Li Mu Dive into Deep Learning] [Andrew Ng Deep Learning] [Dafei LLM Agent]
TranslatedThis project changes the MXNet implementations in the original book 《动手学深度学习》 (Dive into Deep Learning) into PyTorch implementations.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
Translated"Lee Hung-yi's Deep Learning Tutorial" (recommended by Professor Hung-yi Lee 👍, the Apple Book 🍎), PDF download address: https://github.com/datawhalechina/leedl-tutorial/releases
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
Natural Language Processing Tutorial for Deep Learning Researchers
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》)
The "Python Machine Learning (1st edition)" book code repository and info resource
YSDA course in Natural Language Processing
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
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.
TranslatedBuild your neural network easy and fast, 莫烦Python (Morvan Python) Chinese teaching
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Collection of notebooks about quantitative finance, with interactive python code.
Code for Tensorflow Machine Learning Cookbook
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
Jupyter notebooks for the Natural Language Processing with Transformers book
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Python code for common Machine Learning Algorithms
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.