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wh-forker's Projects

quicklook icon quicklook

Bring macOS “Quick Look” feature to Windows

quickumls icon quickumls

System for Medical Concept Extraction and Linking

qvi icon qvi

Implementation of "Quadratic video interpolation", NeurIPS 2019.

r-fcn icon r-fcn

R-FCN: Object Detection via Region-based Fully Convolutional Networks

r2r-envdrop icon r2r-envdrop

PyTorch Code for NAACL 2019 paper: Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout

radam icon radam

On The Variance Of The Adaptive Learning Rate And Beyond

rainbow icon rainbow

Rainbow: Combining Improvements in Deep Reinforcement Learning

rainbow-2 icon rainbow-2

A PyTorch implementation of Rainbow DQN agent

rainbow-3 icon rainbow-3

Rainbow: Combining Improvements in Deep Reinforcement Learning

rand_txt icon rand_txt

This is a sample for how to use rand.shuffle().

ratemysupervisor icon ratemysupervisor

永久免费开源的导师评价数据、数据爬虫、无需编程基础的展示网页以及新信息补充平台

ray icon ray

A system for parallel and distributed Python that unifies the ML ecosystem.

rbpn-pytorch icon rbpn-pytorch

The project is an official implement of our CVPR2019 paper "Recurrent Back-Projection Network for Video Super-Resolution"

rcan icon rcan

PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

rcf icon rcf

Richer Convolutional Features for Edge Detection

rcnn icon rcnn

R-CNN: Regions with Convolutional Neural Network Features

rdm icon rdm

Easily set Mac Retina display to higher unsupported resolutions

rdn icon rdn

Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)

rdn-tensorflow icon rdn-tensorflow

A TensorFlow implementation of CVPR 2018 paper "Residual Dense Network for Image Super-Resolution".

react icon react

A declarative, efficient, and flexible JavaScript library for building user interfaces.

real-sr icon real-sr

Real-World Super-Resolution via Kernel Estimation and Noise Injection

realsr icon realsr

Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model (ICCV 2019)

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