A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour

The fastai deep learning library

The fastai book, published as Jupyter Notebooks

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

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Companion webpage to the book "Mathematics For Machine Learning"

This repository contains implementations and illustrative code to accompany DeepMind publications

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Code release for NeRF (Neural Radiance Fields)

An open-source, low-code machine learning library in Python

Multi-Joint dynamics with Contact. A general purpose physics simulator.

Lab Materials for MIT 6.S191: Introduction to Deep Learning

CoreNet: A library for training deep neural networks

A unified framework for 3D content generation.

Create delightful software with Jupyter Notebooks

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

A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.

IPython Parallel: Interactive Parallel Computing in Python

Grokking Deep Reinforcement Learning

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

Deep Reinforcement Learning for de-novo Drug Design

[ICCV 2023] HairCLIPv2: Unifying Hair Editing via Proxy Feature Blending

A 3D video game environment and benchmark designed from scratch for reinforcement learning research

Ray RLlib tutorial material

The curse of monkey island 🌄