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

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

• machine-learning
• trading
• investment
• finance

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

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

《Python Cookbook》 3rd Edition Translation

• python
• python3
• python3-cookbook
• readthedocs

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

• numpy
• python
• linear-algebra
• data-science

TranslatedBook_4_"The Power of Matrices" | Iris Book: From Addition, Subtraction, Multiplication and Division to Machine Learning; now on sale!

• linear
• linear-algebra
• machine-learning
• mathematics

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

Notebooks and code for the book "Introduction to Machine Learning with Python"

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

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

• ai
• artificial-intelligence
• deep-learning
• large-language-models

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

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

A computer science textbook

• education
• computer-science
• markdown

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

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

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

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

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

• machine-learning
• predictive-modeling
• islr
• statistical-learning

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

Text and supporting code for Think Stats, 2nd Edition

• data-science
• python
• statistics
• textbook

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

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

Book_2_《可视之美》 | 鸢尾花书：从加减乘除到机器学习，欢迎批评指正