mcubuktepe

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MAgent

A Platform for Many-Agent Reinforcement Learning

Language:PythonMIT168000

MAgent

An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of reference environments

Language:C++MIT19100

dopamine

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

Language:Jupyter NotebookApache-2.01043000

acme

A library of reinforcement learning components and agents

Language:PythonApache-2.0344800

mlops-with-vertex-ai

An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI

Language:Jupyter NotebookApache-2.034300

gcp_error_handler

Decoding GCP Errors Details

Language:JavaApache-2.0900

stat453-deep-learning-ss21

STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)

Language:Jupyter NotebookMIT43800

scalable_agent

A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.

Language:PythonApache-2.098000

vertex-ai-samples

Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.

Language:Jupyter NotebookApache-2.0157600

PyTorch-RL

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

Language:PythonMIT108500

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Language:PythonMIT1556000

imitation

Code for the paper "Generative Adversarial Imitation Learning"

Language:PythonMIT67900

gail-pytorch

A simple implementation of Generative Adversarial Imitation Learning with PyTorch

Language:PythonMIT12200

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

Language:PythonMIT1610600

mbpo

Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"

Language:PythonMIT47000

awesome-deep-rl

A curated list of awesome Deep Reinforcement Learning resources.

MIT64300

batch_rl

Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games

Language:PythonApache-2.052300

pytips

Python Tips contains code snippets that will help you learn Python

Language:Python42400

robotic-warehouse

Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment

Language:PythonMIT5500

autoxgb

XGBoost + Optuna

Language:PythonApache-2.066000

Data-science

Collection of useful data science topics along with articles, videos, and code

Language:Jupyter Notebook401000

convmixer

Implementation of ConvMixer for "Patches Are All You Need? 🤷"

Language:PythonMIT105200

machine_learning_complete

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

Language:Jupyter NotebookMIT456900

mlflow

Open source platform for the machine learning lifecycle

Language:PythonApache-2.01809600

cox

A lightweight experimental logging library

Language:PythonMIT4900

robustness

A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

Language:Jupyter NotebookMIT89800

tianshou

An elegant PyTorch deep reinforcement learning library.

Language:PythonMIT767600

autonomous-learning-library

A PyTorch library for building deep reinforcement learning agents.

Language:PythonMIT64400

salina

a Lightweight library for sequential learning agents, including reinforcement learning

Language:PythonMIT42600

mujoco

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

Language:Jupyter NotebookApache-2.0767600