1040 Open source projects that are alternatives of or similar to Learning To Communicate Pytorch

A Platform for Many-agent Reinforcement Learning

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.

《Reinforcement Learning: An Introduction》（第二版）中文翻译

Python library for Reservoir Computing using Echo State Networks

OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

Accelerated deep learning R&D

Tensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)

The first public PyTorch implementation of Attentive Recurrent Comparators

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Proximal Policy Optimization implementation with TensorFlow

HDLTex: Hierarchical Deep Learning for Text Classification

Studying Reinforcement Learning Guide

Grid2Op a testbed platform to model sequential decision making in power systems.

Safe Bayesian Optimization

Simple tools for logging and visualizing, loading and training

Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071

Chess reinforcement learning by AlphaGo Zero methods.

R interface to the keras library

Code for "Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner" in ICCV 2017

💡 Repo of learning notes in DRL and DL, theory, codes, models and notes maybe.

Sokoban environment for OpenAI Gym

self-studying the Sutton & Barto the hard way

videos, lectures, blogs for Deep Learning

AI各领域学习资料整理。（A collection of all skills and knowledges should be got command of to obtain an AI relevant job offer. There are online blogs, my personal blogs, electronic books copy.）

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Allie: A UCI compliant chess engine

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

Q-Learning Based Cryptocurrency Trader and Portfolio Optimizer for the Poloniex Exchange

A simple interface to instantiate Reinforcement Learning environments with SUMO for Traffic Signal Control. Compatible with Gym Env from OpenAI and MultiAgentEnv from RLlib.

Repository to accompany RSS 2018 paper on dexterous hand manipulation

MAGNet: Multi-agents control using Graph Neural Networks

Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments

Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Text Classification Algorithms: A Survey

A high-performance Atari A3C agent in 180 lines of PyTorch

Quantize weights and activations in Recurrent Neural Networks.

Project on design and implement neural network that maximises driving speed of self-driving car through reinforcement learning.

Awesome Game AI materials of Multi-Agent Reinforcement Learning

⚡️ ⚡️ 𝘋𝘦𝘦𝘱 𝘙𝘓 𝘈𝘭𝘨𝘰𝘵𝘳𝘢𝘥𝘪𝘯𝘨 𝘸𝘪𝘵𝘩 𝘙𝘢𝘺 𝘈𝘗𝘐

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

Reinforcement Learning for WeChat Jump

An independent implementation of DeepMind's AlphaGoZero in Scala, using Deeplearning4J (DL4J)

Imitation learning algorithms

POMDPs in Python.

An open source framework for research in Embodied-AI from AI2.

Maze Applied Reinforcement Learning Framework

Code for "Gradient Surgery for Multi-Task Learning"

Biologically-realistic recurrent convolutional neural networks

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

A repo for data science related questions and answers

TensorFlow Tutorials with YouTube Videos

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

A minimal C implementation of Nintendo Gameboy - An fast research environment for Reinforcement Learning

Neural machine translator for English2German translation.

Implementations of Reinforcement Learning and Planning algorithms