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retain-keras

Reimplementation of RETAIN Recurrent Neural Network in Keras

retainvis

An implementation of RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records

retina-api

API for Retina News (http://api.retinanews.net).

retinanet

An implementation of RetinaNet in PyTorch.

retinanet-1

Focal loss for Dense Object Detection

retinanet-2

Focal loss for Dense Object Detection

retinanet.pytorch

RetinaNet implementation in PyTorch

retinet

retrieval-2017-cam

Class-Weighted Convolutional Features for Image Retrieval

retro-baselines

Publicly releasable baselines for the Retro contest

retrofitting

Retrofitting Word Vectors to Semantic Lexicons

retweet-bot

Retweets tweets mentioning your hashtag/search query. Supports Twitter API v1.1.

reversi-alpha-zero

Reversi reinforcement learning by AlphaGo Zero methods.

review_net

Review Network for Caption Generation

revisitop

Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking

revive

Khalil, R. and Gervais, A. 2017. ACM Conference on Computer and Communications Security. Revive: Rebalancing Off-Blockchain Payment Networks.

revnet-public

Code for "The Reversible Residual Network: Backpropagation Without Storing Activations"

reward-estimator-iclr

Reward Estimation for Variance Reduction in Deep Reinforcement Learning

reweighted-ws

Implementation of the reweighted wake-sleep machine learning algorithm

rexgen_direct

Template-free prediction of organic reaction outcomes

rf_benchmarks

Benchmarking Random Forests for ilastik.

rf_select

Feature selection tool using random forest variable importance measures.

rfbnet

rftk

Random forest toolkit

rftk-colrf-icml2013

ICML 2013 experiments for "Consistency of Online Random Forests" using rftk

rgan

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

rhubarb-lip-sync

Rhubarb Lip Sync is a command-line tool that automatically creates 2D mouth animation from voice recordings. You can use it for characters in computer games, in animated cartoons, or in any other project that requires animating mouths based on existing recordings.

ringloss

PyTorch implementation of Ring Loss. Modified based on https://arxiv.org/abs/1803.00130

ripplenet

A tensorflow implementation of RippleNet

rise

RISE: "Live" Reveal.js Jupyter/IPython Slideshow Extension