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
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Python Implementation of Reinforcement Learning: An Introduction
Bartosz Milewski's 'Category Theory for Programmers' unofficial PDF and LaTeX source
A catalogue of Rust design patterns, anti-patterns and idioms
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.
Lisp code for the textbook "Paradigms of Artificial Intelligence Programming"
An up-to-date (unofficial) knowledge base for Go programming self learning
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.
Mostly experiments based on "Advances in financial machine learning" book
Common Lisp implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
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"
Code for "Social Networks for Startups"
The code repository for the prototypes included in the eBook "Inspired EHRs - Designing for Clinicians" (inspiredEHRs.gov). The code of the prototypes is made available under the Apache 2.0 open source license. This license agreement allows anyone to freely use the code and ideas presented in this book, subject to the conditions listed at http://opensource.org/licenses/Apache-2.0.
Chapter 7: Social app with Firebase and Ionic 2