Pinned Repositories
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
FYP_Landmark
Grid-Anchor-based-Image-Cropping-Pytorch
Compatible with Python3 & PyTorch 1.0+ on Ubuntu
LST-Net
Code for paper " LST-Net: Learning a Convolutional Neural Network with a Learnable Sparse Transform" appeared in ECCV'20
lld533's Repositories
lld533/Grid-Anchor-based-Image-Cropping-Pytorch
Compatible with Python3 & PyTorch 1.0+ on Ubuntu
lld533/LST-Net
Code for paper " LST-Net: Learning a Convolutional Neural Network with a Learnable Sparse Transform" appeared in ECCV'20
lld533/FYP_Landmark
lld533/adahessian
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
lld533/adversairal-attacks-pytorch
A pytorch implementations of Adversarial attacks and utils
lld533/advertorch
A Toolbox for Adversarial Robustness Research
lld533/auto-attack
Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
lld533/dawn-bench-models
lld533/DeepLabV3Plus-Pytorch
DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes
lld533/detr
End-to-End Object Detection with Transformers
lld533/diffGrad
diffGrad: An Optimization Method for Convolutional Neural Networks
lld533/DnCNN-PyTorch
PyTorch implementation of the TIP2017 paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"
lld533/DNN_based_detection
lld533/DSoP-Net
Official PyTorch implementation of DSoP-Net
lld533/ext_portrait_segmentation
lld533/FeatureAttack
Strongest attack against Feature Scatter and Adversarial Interpolation
lld533/FG17
lld533/FIIQA
Reference: Illumination Quality Assessment for Face Images: A Benchmark and A Convolutional Neural Networks Based Model
lld533/ghostnet
[CVPR2020] GhostNet: More Features from Cheap Operations
lld533/Intermediate-Level-Attack
[ICCV 2019] Enhancing Adversarial Example Transferability with an Intermediate Level Attack (https://arxiv.org/abs/1907.10823)
lld533/keras
Deep Learning for humans
lld533/Mutual-Channel-Loss
Code release for The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification (TIP 2020)
lld533/ODI
Output Diversified Initialization
lld533/PFLD_68points_Pytorch
Implementation of PFLD For 68 Facial Landmarks By Pytorch
lld533/pytorch
Windows port of PyTorch. Alpha quality
lld533/research-ms-loss
MS-Loss: Multi-Similarity Loss for Deep Metric Learning
lld533/semantic-segmentation-pytorch
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
lld533/TorchSeg
Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.
lld533/yolov3-pytorch
YOLOV3 pytorch implementation as a python package
lld533/ZeroBranePackage
Packages for ZeroBrane Studio (https://studio.zerobrane.com)