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recurrenthighwaynetworks

Recurrent Highway Networks - Author implementation for Tensorflow and Torch

recurrentshop

Framework for building complex recurrent neural networks with Keras

recursiveneuraltensornetwork

A deep learning recursive neural tensor network for sentiment analysis

recursivenn

Tensorflow implementation of Recursive Neural Networks using LSTM units

rednet-pytorch

PyTorch Implementation of image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections (NIPS 2016)

redtail

AI framework for autonomous mobile robotics.

referringrelationships

refinedet

Single-Shot Refinement Neural Network for Object Detection

refinenet

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

reflex-vty

Build terminal applications using functional reactive programming (FRP) with Reflex FRP.

regan

ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators

regl-cnn

Digit recognition with Convolutional Neural Networks in WebGL

regretful-agent

PyTorch code for CVPR 2019 paper: The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation

reinforce-paraphrase-generation

This repository contains the data and code for the paper "An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation" (EMNLP2019).

reinforcejs

Reinforcement Learning Agents in Javascript (Dynamic Programming, Temporal Difference, Deep Q-Learning, Stochastic/Deterministic Policy Gradients)

reinforcement-learning

Minimal and Clean Reinforcement Learning Examples

reinforcement-learning-1

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-an-introduction

Python code for Reinforcement Learning: An Introduction

reinforcement-learning-car

Using reinforcement learning to teach a car to avoid obstacles.

reinforcement-learning-notebooks

A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.

reinforcement-learning-with-tensorflow

Reinforcement learning tutorials

reinspect

End to end detection in crowded scenes

rel-pose-feats

Relational pose features from 2d human skeleton.

relation-autoencoder

this is the code used in the paper "Discrete-State Variational Autoencoders for Joint Discovery and Factorization of Relations"

relation-classification-via-attention-model

code of Relation Classification via Multi-Level Attention CNNs

relation-network

keras implementation of [A simple neural network module for relational reasoning](https://arxiv.org/pdf/1706.01427.pdf)

relation-network-1

Tensorflow implementation of Relation Network (bAbI dataset)

relation-network-tensorflow

Tensorflow implementations of Relational Networks and a VQA dataset named Sort-of-CLEVR proposed by DeepMind.

relation-networks-for-object-detection

Relation Networks for Object Detection

relational-gcn

Keras-based implementation of Relational Graph Convolutional Networks