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realsr

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

realsr-1

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

realworldrl_suite

Real-World RL Benchmark Suite

reasoning-rcnn

Reasoning-RCNN: Unifying Adaptive Global Reasoning into Large-scale Object Detection (CVPR2019 Oral)

recommender-system-with-tf2.0

Recurrence the recommender paper with Tensorflow2.0

recsys2019_deeplearning_evaluation

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches"

regnet-search-pytorch

Search for RegNet using PyTorch

reid-strong-baseline

Bag of Tricks and A Strong Baseline for Deep Person Re-identification

reinforcement-learning

residual-policy-learning

Residual policy learning

resizer

The only way to resize images

resnest

ResNeSt: Split-Attention Network

responseedit

Resources of our paper at AAAI-19 ``Response Generation by Context-aware Prototype Editing"

retinalresources

Code for "A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs", ICLR 2019

revisiting_deep_metric_learning_pytorch

(ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent research in this field.

revnet-public

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

rewriting-with-nns

rexnet

Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models

rl

Generic reinforcement learning codebase in TensorFlow

rl-adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

rl-chatbot

🤖 Deep Reinforcement Learning Chatbot

rl-insights

https://masterscrat.github.io/rl-insights/

rl-reliability-metrics

The RL Reliability Metrics library provides a set of metrics for measuring the reliability of reinforcement learning (RL) algorithms, as well as statistical tools for comparing algorithms and for computing confidence intervals on these metrics.

rl-stock

📈 如何用深度强化学习自动炒股

rlpyt

Reinforcement Learning in PyTorch

rlseq2seq

Deep Reinforcement Learning For Sequence to Sequence Models

rnan

PyTorch code for our ICLR 2019 paper "Residual Non-local Attention Networks for Image Restoration"

rnn-for-proving-data

rnn-vae

Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"

robgan

Rob-GAN: Generator, Discriminator and Adversarial Attacker