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autogen

Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ

babyai

BabyAI platform. A testbed for training agents to understand and execute language commands.

controlnet

Let us control diffusion models

cs228-material

Teaching materials for the probabilistic graphical models and deep learning classes at Stanford

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

d4rl

A collection of reference environments for offline reinforcement learning

david-silver-reinforcement-learning

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

diffusion-models-pytorch

Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

flaml

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

gym-metacar

OpenAI Gym wrapper for Metacar: A reinforcement learning environment for self-driving cars in the browser.

handson-ml2

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.

handson-ml3

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.

katago

GTP engine and self-play learning in Go

llms-from-scratch

Implementing a ChatGPT-like LLM from scratch, step by step

memgpt

Teaching LLMs memory management for unbounded context 📚🦙

ml-scikit-keras-tensorflow

Notes and code for "Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron

mopaas

openai-quickstart-python

Python example app from the OpenAI API quickstart tutorial

oreilly_book

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

patch-torch-save

Patches the torch.save function with arbitrary code that gets executed upon torch.load.

preprocessing-for-deep-learning

This is the notebook associated with the blog post:

pytorch-artificial-intelligence-fundamentals

PyTorch Artificial Intelligence Fundamentals, published by Packt

pytorch-book

Code included in the book, PyTorch Pocket Reference

sharing_isl_python

An Introduction to Statistical Learning with Applications in PYTHON

slm-lab

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

tpu

Reference models and tools for Cloud TPUs.

transformers-for-natural-language-processing

Transformers for Natural Language Processing, published by Packt

uvadlc_notebooks

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2021/Spring 2022

vision

Datasets, Transforms and Models specific to Computer Vision