2992 Open source projects that are alternatives of or similar to Tensorlayer

Deep Reinforcement Learning for the JVM (Deep-Q, A3C)

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

A Configurable Recommender Systems Simulation Platform

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Reinforcement learning tutorials

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

TensorFlow and Deep Learning Tutorials

Implementations of deep RL papers and random experimentation

Minimal and Clean Reinforcement Learning Examples

How to use TensorLayer

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

AI research environment for the Atari 2600 games 🤖.

🙄 Difficult algorithm, Simple code.

A curated list of artificial intelligence resources (Courses, Tools, App, Open Source Project)

Accompanying repository for Let's make a DQN / A3C series.

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

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

Deep Reinforcement Learning with pytorch & visdom

A library for ready-made reinforcement learning agents and reusable components for neat prototyping

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

MIT DeepTraffic top 2% solution (75.01 mph) 🚗.

A curated list of dedicated resources and applications

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

Structural implementation of RL key algorithms

🤖 Deep Reinforcement Learning Chatbot

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

An easy to use C# deep learning library with CUDA/OpenCL support

Multiple implementations for abstractive text summurization , using google colab

Resources to learn more about Machine Learning and Artificial Intelligence

Repo for the Deep Reinforcement Learning Nanodegree program

Scalable, event-driven, deep-learning-friendly backtesting library

A RiveScript interpreter for JavaScript. RiveScript is a scripting language for chatterbots.

HoME: a Household Multimodal Environment is a platform for artificial agents to learn from vision, audio, semantics, physics, and interaction with objects and other agents, all within a realistic context.

An open platform for artificial intelligence, chat bots, virtual agents, social media automation, and live chat automation.

Deep Reinforcement Learning Framework + Algorithms

Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge

A PyTorch library for building deep reinforcement learning agents.

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

🔥🔥AidLearning is a powerful mobile development platform, AidLearning builds a linux env supporting GUI, deep learning and visual IDE on Android...Now Aid supports OpenCL (GPU+NPU) for high performance acceleration...Linux on Android or HarmonyOS

use AI to play some games.

Python library for Reinforcement Learning.

Arnold - DOOM Agent

A3C LSTM Atari with Pytorch plus A3G design

👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

Gluon CV Toolkit

StarCraft environment for OpenAI Gym, based on Facebook's TorchCraft. (In progress)

A C++ framework for MDPs and POMDPs with Python bindings

[MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

🏀🤖🏀 AI web app and API to analyze basketball shots and shooting pose.

An open source library for deep learning end-to-end dialog systems and chatbots.