Examples and guides for using the OpenAI API

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

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 ;)

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Instruct-tune LLaMA on consumer hardware

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

Public facing notes page

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

TensorFlow Tutorials with YouTube Videos

100 days of algorithms

An annotated implementation of the Transformer paper.

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

A computer science textbook

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

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

Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE

Project page for "The Fuzzing Book"

A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning t…

TensorFlow Implementation of "Show, Attend and Tell"

Python binding for Microsoft LightGBM

Parallel computing in Python tutorial materials

A minimal implementaion (less than 150 lines of code with visualization) of DCGAN/WGAN in PyTorch with jupyter notebooks

Pytorch tutorials for Neural Style transfert