937 Open source projects that are alternatives of or similar to Noreward Rl

Deep Developmental Reinforcement Learning

Combining deep learning and reinforcement learning.

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

Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track

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

A TensorFlow-based framework for learning about and experimenting with reinforcement learning algorithms

List of awesome resources for machine learning-based algorithmic trading

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Scalable, event-driven, deep-learning-friendly backtesting library

Gridworld environments for OpenAI gym.

Application of machine learning to the Coinbase (GDAX) orderbook

Data-centric declarative deep learning framework

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

Pytorch implementation of Unsupervised Attention-guided Image-to-Image Translation.

Code for reproducing experiments in Model-Based Active Exploration, ICML 2019

JAX-based neural network library

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

Useful information about PyTorch modules (FLOPs, MACs, receptive field, etc.)

Simple grid-world environment compatible with OpenAI-gym

All DeepLearning4j projects go here.

Train AI (Keras + Tensorflow) to defend apps with Django REST Framework + Celery + Swagger + JWT - deploys to Kubernetes and OpenShift Container Platform

Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction

Solved lab problems, slides and notes of the Deep Reinforcement Learning bootcamp 2017 held at UCBerkeley

Mostly free resources for end-to-end machine learning engineering, including open courses from CalTech, Columbia, Berkeley, MIT, and Stanford (in alphabetical order).

Create automatic playlists by using Deep Learning to *listen* to the music

GPU accelerated Deep Belief Network

Implementation of the Deep Q-learning algorithm to solve MDPs

Iterative Residual Network for Deep Joint Image Demosaicking and Denoising

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

Play flappy bird with DQN, a demo for reinforcement learning, implemented using PyTorch

Deep reinforcement learning using baidu PARL(maze,flappy bird and so on)

Gluon to PyTorch deep neural network model converter

An ONNX (Open Neural Network eXchange) API and Backend for Typeful, Functional Deep Learning in Scala

Ideal Ratio Mask (IRM) Estimation based Speech Enhancement using LSTM

A simple and useful implementation of LPIPS.

For deep RL and the future of AI.

3D Unet Equipped with Advanced Deep Learning Methods

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

Full HRV analysis of Arduino pulse sensor, using Python signal processing and time series techniques. Chaotic, Fourier, Wavelet, Regression, Neural Net.

A bare-bones Python library for quality diversity optimization.

Experimental (stable, go here: https://github.com/benelot/pybullet-gym) repository of OpenAI Gym environments implemented with Bullet Physics using pybullet.

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

An analytical cost model evaluating DNN mappings (dataflows and tiling).

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

Using deep reinforcement learning to tackle the game 2048.

Python Library for Model Interpretation/Explanations

Resources for deep learning with satellite & aerial imagery

Notes and comments about Deep Reinforcement Learning papers

PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.

Deep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft

Try out deep learning models online on Google Colab

A Python library for manipulation of Doom WAD files

Lets Learn AI

High Quality Monocular Depth Estimation via Transfer Learning