Home Assistant Custom Integration for Niko Home Control II

RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code

Modularized Implementation of Deep RL Algorithms in PyTorch

Simple and easily configurable 3D FPS-game-like environments for reinforcement learning

This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.

Reinforcement Learning in PyTorch

Minimal PyTorch implementation of YOLOv3

Turn (almost) any Python command line program into a full GUI application with one line

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

PyTorch implementations of deep reinforcement learning algorithms and environments

Simple and easily configurable grid world environments for reinforcement learning

LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …

My solution to the Unity Obstacle Tower Challenge

A PyTorch implementation of the YOLO v3 object detection algorithm

CLEVR-Robot: a reinforcement learning environment combining vision, language and control.

PyTorch & Rainbow for Obstacle Tower Challenge

disentanglement_lib is an open-source library for research on learning disentangled representations.

A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks

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

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 lea…

N-Layered FeUdal Networks based on FeUdal Networks adapted to suit PySC2 observations

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

Acceptance rates for the major AI conferences

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

AI challenge deadlines with link to software baselines and evaluation results.

Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability