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recsysdoc

Algorithms of Recommender Systems : A survey paper of recommender systems (written in Japanese)

reddit-enhancement-suite

Reddit Enhancement Suite

redshells

Machine learning tasks which are used with data pipeline library "luigi" and its wrapper "gokart".

reinforcejs

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

reinforcement-learning-an-introduction

Python implementation of Reinforcement Learning: An Introduction

relationprediction

Implementation of R-GCNs for Relational Link Prediction

residual-attention-network

resnet-multipleframework

ResNet benchmark by Keras(TensorFlow), Keras(MXNet), Chainer, PyTorch using Google Colab

retain

RETAIN: Interpretable Predictive Model in Healthcare using Reverse Time Attention Mechanism

reversi-alpha-zero

Reversi reinforcement learning by AlphaGo Zero methods.

reviewadvisor

Heavy Workload on Reviewing Papers? ReviewAdvisor Helps out

rfcn-tensorflow

RFCN implementation in TensorFlow

rgcn-with-bert

Graph Convolutional Networks (GCN) with BERT for Coreference Resolution Task [Pytorch][DGL]

ripplenet

A tensorflow implementation of RippleNet

rlcreature

Motion Generation for Imaginary Creatures

rnn-twitter

rnn_demo

Recurrent Neural Network Demo by PyBrain

rnnlogic

robotcarai

round1

Environment and tasks for the first round of the General AI Challenge.

rrest

Algorithms for estimation of respiratory rate from physiological signals

rstanbook

『StanとRでベイズ統計モデリング』のサポートページです.

rtsgan

russian-twitter-trolls

Scraping Tweet data for Russian Troll Twitter accounts into Neo4j

sakuraalphaarduino

SAKURA Internet IoT Alpha Communication Module Library for Arduino

sakuraioarduino

SAKURA Internet IoT Communication Module Library for Arduino

sample

Created with CodeSandbox

sc-fegan

SC-FEGAN : Face Editing Generative Adversarial Network with User's Sketch and Color

scdv

SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations

scene-graph-benchmark.pytorch

A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased Scene Graph Generation from Biased Training CVPR 2020”