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
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
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 ;)
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
TranslatedThe pytorch handbook is an open-source book that aims to help friends who want to use PyTorch for deep learning development and research get started quickly. All of the PyTorch tutorials it contains have been tested to ensure they run successfully.
TranslatedThis project changes the MXNet implementations in the original book 《动手学深度学习》 (Dive into Deep Learning) into PyTorch implementations.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
One has no future if one couldn't teach themself.
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
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
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》)
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
this repository accompanies the book "Grokking Deep Learning"
Implement a reasoning LLM in PyTorch from scratch, step by step
🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
Translated"PyTorch Practical Tutorial" (Second Edition): whether you are starting from zero, working on CV, NLP, or LLM project applications, or moving on to advanced engineering deployment, it's all here. We believe that with the help of this book, readers will be able to master the use of PyTorch with ease and become an excellent deep learning engineer.
Build a modern LLM from scratch. Every line commented. Explained like we are five.
Book_5_《统计至简》 | 鸢尾花书:从加减乘除到机器学习;上架!
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现,项目已得到李沐老师的认可
《神经网络与深度学习:案例与实践》第二版:10 章 PyTorch 实践、Notebook、测试与电子书。
Book_7_《机器学习》 | 鸢尾花书:从加减乘除到机器学习;欢迎批评指正
A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练:算法与应用》中文电子书、源码、读者交流社区(持续更新中 ...) 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页
This is code of book "Learn Deep Learning with PyTorch"