Repository Index

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

• gpt
• large-language-models
• llm
• python

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 ;)

• bayesian-methods
• pymc
• mathematical-analysis
• jupyter-notebook

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

TranslatedThis project changes the MXNet implementations in the original book 《动手学深度学习》 (Dive into Deep Learning) into PyTorch implementations.

• deep-learning
• deep-learning-tutorial
• pytorch
• pytorch-tutorial

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.

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

• machine-learning
• deep-learning
• leedl-tutorial
• cnn

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

• pytorch
• pytorch-tutorials
• pytorch-tutorials-cn
• deep-learning

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

• machine-learning
• machine-learning-algorithms
• logistic-regression
• data-science

Understanding Deep Learning - Simon J.D. Prince

this repository accompanies the book "Grokking Deep Learning"

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

• machine-learning
• deep-learning
• python
• scikit-learn

Code for Tensorflow Machine Learning Cookbook

• tensorflow
• tensorflow-cookbook
• linear-regression
• neural-network

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

• neural-network
• machine-learning
• tensorflow
• keras

Code Repository for Machine Learning with PyTorch and Scikit-Learn

• machine-learning
• scikit-learn
• deep-learning
• neural-networks

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

• machine-learning
• deep-learning
• tensorflow
• scikit-learn

🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.

• agent
• agentic
• agentic-ai
• agentic-rl

Jupyter notebooks for the Natural Language Processing with Transformers book

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

• dsp
• python
• signal-processing
• textbook

Translated"PyTorch Practical Tutorial" (Second Edition): whether you are starting from zero, working on CV, NLP, or LLM project applications, or moving on to advanced engineering deployment, it's all here. We believe that with the help of this book, readers will be able to master the use of PyTorch with ease and become an excellent deep learning engineer.

• computer-vision
• deepsort
• diffusion-models
• onnx

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

• tensorflow
• machine-learning
• regression
• convolutional-neural-networks

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

• deep-learning
• d2l
• data-science
• pytorch-implmention

Build a modern LLM from scratch. Every line commented. Explained like we are five.

• attention-mechanism
• deep-learning
• educational
• from-scratch

The repository host gives no description.