6608 Open source projects that are alternatives of or similar to Minecraft Reinforcement Learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

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

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

Repo for the Deep Reinforcement Learning Nanodegree program

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.

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.

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

Grokking Deep Reinforcement Learning

Deep Learning Projects that Build Themselves

Real-time portrait segmentation for mobile devices

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

由淺入深的深度學習資源 Collection of deep learning materials for everyone

No description or website provided.

A pytorch tutorial for DRL(Deep Reinforcement Learning)

RLgraph: Modular computation graphs for deep reinforcement learning

PyTorch1.x tutorials, examples and some books I found 【不定期更新】整理的PyTorch 1.x 最新版教程、例子和书籍

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

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

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)

PyTorch Tutorial (1.7)

This is the implementation of paper <Additive Margin Softmax for Face Verification>

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

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

深度学习入门教程, 优秀文章, Deep Learning Tutorial

深度学习笔记

Autonomous Drifting using Reinforcement Learning

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

[INACTIVE] A collection of various machine learning solver. The library is an object-oriented approach (baked with Typescript) and tries to deliver simplified interfaces that make using the algorithms pretty simple.

An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.

DrQ: Data regularized Q

RAD: Reinforcement Learning with Augmented Data

Debugging, monitoring and visualization for Python Machine Learning and Data Science

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

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

Action recognition using soft attention based deep recurrent neural networks

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

Multiple implementations for abstractive text summurization , using google colab

🐵 An AI chess-board-game framework(by many programming languages) implementations.

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

Python library for Reinforcement Learning.

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..

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

A one-stop repository for low-code easily-installable object detection pipelines.

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

A course in reinforcement learning in the wild

A PyTorch library for building deep reinforcement learning agents.

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

Deep Reinforcement Learning with pytorch & visdom

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

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

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

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☔ Deep RL agents with PyTorch☔

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

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)

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow