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

A collection of various deep learning architectures, models, and tips

The "Python Machine Learning (1st edition)" book code repository and info resource

The "Python Machine Learning (2nd edition)" book code repository and info resource

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

Code Repository for Machine Learning with PyTorch and Scikit-Learn

A library of extension and helper modules for Python's data analysis and machine learning libraries.

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

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

Useful functions, tutorials, and other Python-related things

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

LLM Architecture Gallery source data

Minimal and readable coding agent harness implementation in Python to explain the core components of coding agents.

Examples of matplotlib codes and plots

A 4-hour coding workshop to understand how LLMs are implemented and used

Machine Learning Q and AI book

An IPython magic extension for printing date and time stamps, version numbers, and hardware information

Collection of useful machine learning codes and snippets (originally intended for my personal use)

Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison

STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)

STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)

Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison

PyPrind - Python Progress Indicator Utility

A repository with IPython notebooks of algorithms implemented in Python.

Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison

STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)

A machine learning approach to classify songs by mood.

Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024

LoRA and DoRA from Scratch Implementations

A collection of tools to collect and download various data.

Code material for a data science tutorial

RAGs: Simple implementations of Retrieval Augmented Generation (RAG) Systems

An ongoing fun challenge where I'll try to post one Python benchmark per day.

Machine learning with scikit-learn tutorial at PyData Chicago 2016

Outlining techniques for improving the training performance of your PyTorch model without compromising its accuracy

A collection of useful tutorials for Protein Science

Machine learning with Python tutorial at MSU Data Science 2018

A Python command line tool that creates a Table of Contents for Markdown documents

This code repository contains the code used for my "Optimizing Memory Usage for Training LLMs and Vision Transformers in PyTorch" blog post.

Cyclemoid implementation for PyTorch

A Python module to retrieve and compare SMILE strings of chemical compounds from the free ZINC online database

Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017

Supplementary material for the article "Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning"

Ordinal Regression tutorial for the International Summer School on Deep Learning 2019

Gzip and nearest neighbors for text classification

Code examples for my Interpretable Machine Learning Blog Series

End-to-end project training and building AI models / LLMs to detect AI-written text

Jupyter Notebook for the "Scientific Computing in Python: Introduction to NumPy and Matplotlib" blog article