Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
- gpt
- large-language-models
- llm
- python
83,586 visible repositories in the index
1–19 of 19 · Most stars
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
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 ;)
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
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.
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Understanding Deep Learning - Simon J.D. Prince
TranslatedBook_1_《Programming Is Not Hard》 | Iris Book: From Addition, Subtraction, Multiplication and Division to Machine Learning; please give us plenty of criticism and corrections!
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Jupyter notebooks for the Natural Language Processing with Transformers book
Build a modern LLM from scratch. Every line commented. Explained like we are five.
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
中文翻译的 Hands-On-Large-Language-Models (hands-on-llms),动手学习大模型
Book_6_《数据有道》 | 鸢尾花书:从加减乘除到机器学习;欢迎大家批评指正!纠错多的同学会得到赠书感谢!
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
Practical course about Large Language Models.
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.
The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis