1980 Open source projects that are alternatives of or similar to Machine Learning Is All You Need

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

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PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

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

Deep Reinforcement Learning with pytorch & visdom

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

☔ Deep RL agents with PyTorch☔

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

Python library for Reinforcement Learning.

31 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

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

Repo for the Deep Reinforcement Learning Nanodegree program

Text Classification Algorithms: A Survey

Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

A PyTorch library for building deep reinforcement learning agents.

Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.

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

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

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

An elegant PyTorch deep reinforcement learning library.

Modularized Implementation of Deep RL Algorithms in PyTorch

Live Trading. Please star.

Ape-X DQN & DDPG with pytorch & tensorboard

Lightweight deep RL Libraray for continuous control.

Minimal implementations of reinforcement learning algorithms by Tensorflow

📈 Click-Through Rate Prediction using Logistic Regression and Tree Algorithms

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using…

🤖 Implements of Reinforcement Learning algorithms.

juliareinforcementlearning.org/

Simple Reinforcement Learning Framework

Using Machine Learning to predict the type of exercise from movement data

Mxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO

Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.

Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥

Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]

A pytorch tutorial for DRL(Deep Reinforcement Learning)

RLgraph: Modular computation graphs for deep reinforcement learning

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

simple tutorial on Machine Learning with Scikitlearn

This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

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

ROS 2 enabled Machine Learning algorithms

An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.

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

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

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

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

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

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

Minimal and Clean Reinforcement Learning Examples

Python code for common Machine Learning Algorithms

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow