ML algorithms implemented and derived from first-principles in Jupyter Notebooks and NumPy

A streamlit app of a simpy urgent care call centre model.

An autoregressive character-level language model for making more things

Building a Claude-like agentic system.

Projects on AI topics like speech recognition, face recognition, and neural machine translation + Projects on engineering my own version of PyTorch libraries and optimization methods from scratch.

Lab Materials for MIT 6.S191: Introduction to Deep Learning

B22202 - A Practical Guide to Reinforcement Learning from Human Feedback

The best ChatGPT that $100 can buy.

Implement a reasoning LLM in PyTorch from scratch, step by step

The best ChatGPT that $100 can buy.

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

Code and Slides

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

🦜🔗 LangChain Model Context Protocol (MCP) Client

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Unlocking Data with Generative AI and RAG, published by Packt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Go from no deep learning knowledge to implementing GPT.

Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning

The "Python Machine Learning (3rd edition)" book code repository

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

🥚 Stanford CS221: Artificial Intelligence: Principles and Techniques

Model parallel transformers in JAX and Haiku

Implementation of different ML Algorithms from scratch, written in Python 3.x