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pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-grad-cam

PyTorch implementation of Grad-CAM

pytorch-styleguide

An unofficial styleguide and best practices summary for PyTorch

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

raspberrypi-docker-tensorflow-opencv

realbasicvsr

Official repository of "Investigating Tradeoffs in Real-World Video Super-Resolution"

realvsr

Dataset and Code for ICCV 2021 paper "Real-world Video Super-resolution: A Benchmark Dataset and A Decomposition based Learning Scheme"

recent-advances-in-vision-and-language-research

CVPR 2020 Tutorial

refiner_vit

refvsr

[CVPR 2022] Official PyTorch Implementation for "Reference-based Video Super-Resolution Using Multi-Camera Video Triplets"

representer_point_selection

code release for Representer point Selection for Explaining Deep Neural Network in NeurIPS 2018

reproduce-chexnet

Reproduce CheXNet

reqnn

3D-Rotation-Equivariant Quaternion Neural Networks

rtl8192eu-linux-driver

Drivers for the rtl8192eu chipset for wireless adapters (D-Link DWA-131 rev E1 included!)

run

润学全球官方指定GITHUB，整理润学宗旨、纲领、理论和各类润之实例；解决为什么润，润去哪里，怎么润三大问题； 并成为新**人的核心宗教，核心信念。

sage

A tensorflow implementation of self attentive graph embedding (SAGE) in WWW 2019

saliency_evaluation

Python implementation for evaluating explanations presented in "On the (In)fidelity and Sensitivity for Explanations" in NeurIPS 2019 for evaluating any saliency explanations.

san

Exploring Self-attention for Image Recognition, CVPR2020.

score-cam

[CVPRW 2020] Official implementation of Score-CAM in Pytorch

scrolltotop

Scroll To Top extension for Chrome, Firefox, Safari, Opera.

seal-ci

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

seemingly_uninformative_labels

Public repo for the ICML2020 paper "Adding seemingly uninformative labels helps in low data regimes"

shap

A game theoretic approach to explain the output of any machine learning model.

shapley-regression

For calculating Shapley values via linear regression.

sli2vol

Trained with just raw 3D volumes, a single Sli2Vol model can be used to propagate a single-slice annotation to the whole 3D volume, for any structures across different modalities.

smop

Small Matlab to Python compiler

snmn

Code release for Hu et al., Explainable Neural Computation via Stack Neural Module Networks. in ECCV, 2018

sparse_attention

Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"

sparse_linear_model

ML library with emphasis on the sparse linear model.