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"
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
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 ;)
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
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.
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
The "Python Machine Learning (1st edition)" book code repository and info resource
《Python Cookbook》 3rd Edition Translation
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
this repository accompanies the book "Grokking Deep Learning"
The "Python Machine Learning (2nd edition)" book code repository and info resource
Code for Tensorflow Machine Learning Cookbook
Implement a reasoning LLM in PyTorch from scratch, step by step
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Book about interpretable machine learning
The "Python Machine Learning (3rd edition)" book code repository
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
Official code repo for the O'Reilly Book - "An Illustrated Guide to AI Agents"