View model summaries in PyTorch!

Chess reinforcement learning by AlphaGo Zero methods.

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

📃 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch Implementation of DA-RNN (arXiv:1704.02971)

Common financial technical indicators implemented in Pandas.

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

Documentation for GitHub Copilot

A collection of pre-trained, state-of-the-art models in the ONNX format

A flexible, high-performance serving system for machine learning models

Public repo for DeepLearning.AI MLEP Specialization

A curated list of references for MLOps

A Python-based development and testing framework for smart contracts targeting the Ethereum Virtual Machine.

Models and examples built with TensorFlow

A library for transfer learning by reusing parts of TensorFlow models.

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Repo for the Deep Reinforcement Learning Nanodegree program

Python Implementation of Reinforcement Learning: An Introduction

Modularized Implementation of Deep RL Algorithms in PyTorch

A fast Evolution Strategy implementation in Python

openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 275+ supported cars.

Prioritized Experience Replay (PER) implementation in PyTorch

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement …

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Repo for Udacity's Secure & Private AI course

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

Perform data science on data that remains in someone else's server