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residual_attention_network

Keras implementation of Residual Attention Network

residualattentionnetwork-tensorflow

Residual Attention Network in tensorflow

resnest

ResNeSt: Split-Attention Network

resnet

Keras implementation of ResNet, WideResNet, and PyramidNet

retinal-disease-diagnosis-with-residual-attention-networks

Using Residual Attention Networks to diagnose retinal diseases in medical images

rl-code-resources

A collection of Reinforcement Learning GitHub code resources divided by frameworks and environments

rl-workshop

Reinforcement Learning Workshop for Bangkok School of AI

rlkit

Collection of reinforcement learning algorithms

rnan

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

robust-conditional-gan

Code for reproducing results from our paper, Robustness of conditional GANs to noisy labels, NIPS 2018

rohan

CUDA-enabled, complex valued neural network simulator

roialign.pytorch

RoIAlign & crop_and_resize for PyTorch

rotatenetworks

The rep for the RotateNetworks in ICPR18, Beijing, China.

rpsnet

Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019

rsnet

This is the official implementation of RSNet.

rvnn-and-cvnn

Real valued neural networks (RVNN) and complex valued neural networks (CVNN) (Akira Hirose, 2012).

s4net

sac

Soft Actor-Critic

safeguarded-dynamic-label-regression-for-noisy-supervision

salad

A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.

scalable_agent

A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.

scarlet-nas

Bridging the gap Between Scalability and Fairness in Neural Architecture Search

scikit-fusion

scikit-fusion: Data fusion in Python

scikit-learn

scikit-learn: machine learning in Python

scikit-learn-doc-zh

:book: [译] scikit-learn（sklearn） 中文文档

scikit-plot

An intuitive library to add plotting functionality to scikit-learn objects.

segmentation_keras

DilatedNet in Keras for image segmentation

segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

segmentron

Support Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuNet, CGNet, CCNet, BiSeNet, PSPNet, ICNet, FCN, deeplab)

segpc2021

Multi-scale Regional Attention Deeplab3+: Multiple Myeloma Plasma Cells Segmentation in Microscopic Images