lld533 Goto Github PK

adahessian

ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning

adversairal-attacks-pytorch

A pytorch implementations of Adversarial attacks and utils

advertorch

A Toolbox for Adversarial Robustness Research

auto-attack

Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

dawn-bench-models

deeplabv3plus-pytorch

DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes

detr

End-to-End Object Detection with Transformers

diffgrad

diffGrad: An Optimization Method for Convolutional Neural Networks

dncnn-pytorch

PyTorch implementation of the TIP2017 paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"

dnn_based_detection

dsop-net

Official PyTorch implementation of DSoP-Net

ext_portrait_segmentation

featureattack

Strongest attack against Feature Scatter and Adversarial Interpolation

fg17

fiiqa

Reference: Illumination Quality Assessment for Face Images: A Benchmark and A Convolutional Neural Networks Based Model

fyp_landmark

ghostnet

[CVPR2020] GhostNet: More Features from Cheap Operations

grid-anchor-based-image-cropping-pytorch

Compatible with Python3 & PyTorch 1.0+ on Ubuntu

intermediate-level-attack

[ICCV 2019] Enhancing Adversarial Example Transferability with an Intermediate Level Attack (https://arxiv.org/abs/1907.10823)

keras

Deep Learning for humans

lst-net

Code for paper " LST-Net: Learning a Convolutional Neural Network with a Learnable Sparse Transform" appeared in ECCV'20

mutual-channel-loss

Code release for The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification (TIP 2020)

nptuioclient

TUIO Client plugin for web browsers

odi

Output Diversified Initialization

pfld_68points_pytorch

Implementation of PFLD For 68 Facial Landmarks By Pytorch

pytorch

Windows port of PyTorch. Alpha quality

research-ms-loss

MS-Loss: Multi-Similarity Loss for Deep Metric Learning

semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

torchseg

Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.

wetongji_wp7