1153 Open source projects that are alternatives of or similar to Doom Net Pytorch

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

Learn and promote blockchain together by writing

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

Open source collection of Reinforcement Learning Environments.

Weekly Go Online Meetup via Bilibili｜Go 夜读｜通过 bilibili 在线直播的方式分享 Go 相关的技术话题，每天大家在微信/telegram/Slack 上及时沟通交流编程技术话题。

Gridworld environments for OpenAI gym.

Basic reinforcement learning implementation with tensorflow version 2.0

📝 My method to capture, study, and recall interesting knowledge

Initiative to read research papers

TensorFlow Tutorials with YouTube Videos

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

Using deep reinforcement learning to tackle the game 2048.

Amon is a modern server monitoring platform.

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

Datadog Agent Version 5

Conversational AI Reading Materials

A tool to describe the content of videos and suggest similar scenes in other videos/films.

💥 本仓库用于记录我的学习历程和学习笔记

Tools for using computer algebra systems to solve math problems step-by-step with reinforcement learning

Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations

学习资料汇总、阅读记录，持续学习,每天进步一点点.🏫🏫

Omaha Poker functionality+some features for PokerRL Reinforcement Learning card framwork

Build a verifiably conformant kubernetes cluster in containers.

Rap song writing recurrent neural network trained on Kanye West's entire discography

Code for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090

A simple Tic-Tac-Toe game written in Vue.

Reinforcement learning material, code and exercises for Udacity Nanodegree programs.

An OpenAI Gym Env for Panda

Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...

Efficient Batched Reinforcement Learning in TensorFlow

🍎👩‍🏫 Collection of Demos for THREE.js in Expo!

📈 A live cryptocurrency historical trade data blotter. Download live historical trade data from any cryptoexchange, be it for machine learning, backtesting/visualizing trading strategies or for Quantopian/Zipline.

📚Curated list of articles, web-resources, tutorials and code repositories that may help you dig a little bit deeper into iOS [and Apple Platforms].

Attempt at reinforcement learning with curiosity for Sonic the Hedgehog games. Number 149 on OpenAI retro contest leaderboard, but more work needed

OpenAI Gym wrapper for the DeepMind Control Suite

🔬 A curated list of awesome machine learning strategies & tools in financial market.

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

OpenAI Gym environments using DART

web

Actor-Critic Instance Segmentation (CVPR 2019)

outis is a custom Remote Administration Tool (RAT) or something like that. It was build to support various transport methods (like DNS) and platforms (like Powershell).

A complete introduction into Go, superseded by https://github.com/miekg/learninggo

A lightweight Experience API Learning Record Store (LRS)

A windows based Snipeit Agent that will add system details to the Snipe-it asset Database

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

A gym environment for Stuart Armstrong's model of a treacherous turn.

📗 A course to teach non-technical team members what developers do 📗

Flappy Bird hack using Reinforcement Learning

自己随手记录的东西

👻 A free online book for frontend developer

Reinforcement Learning Workshop for Data Science BKK

The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the problem of interactive recommendation as a contextual multi-armed bandit.

Data-centric declarative deep learning framework

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

A tiny list limited to the best CSS Learning Resources

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

Machine learning, in numpy

Reinforcement Learning Cheat Sheet

SeqGAN tensorflow implementation

Makine Öğrenmesi Türkçe Kaynak