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aae-pytorch-implementation

AI502

basic_img_classification

Basic_Img_Classification

bdd100k-object-detection

Object Detection task on BDD100K based on MMDetection

da-faster-rcnn-pytorch

An unofficial implementation of 'Domain Adaptive Faster R-CNN for Object Detection in the Wild ’

decompose_cnn

deeplabv3plus-pytorch

DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes

defensegan

Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

faster-rcnn-bdd100k

Object detection bdd100k with faster-rcnn

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

few-shot

Repository for few-shot learning machine learning projects

fewshotpapers

This repository contains few-shot learning (FSL) papers mentioned in our FSL survey.

forkgan

ForkGAN: Seeing into the rainy night. ECCV 2020 (oral). A task-agnostic image translation framework that can boost multiple vision tasks in adverse weather conditions, including localization, semantic segmentation and object detection.

mixmatch-pytorch-ssl

An unofficial PyTorch implementation of MixMatch - A Holistic Approach to Semi-Supervised Learning

non-local-nn-pytorch

PyTorch implementation of Non-Local Neural Networks (https://arxiv.org/pdf/1711.07971.pdf)

object-detection-and-segmentation-for-self-driving-cars

Utilize bdd100k dataset and mask r-cnn to detect and recognize objects for self driving cars

pytorch-adversarial-attack

Implementation of gradient-based adversarial attack(FGSM,MI-FGSM,PGD)

pytorch-adversarial-domain-adaptation

Pytorch implementation of adversarial domain adaptation algorithm

pytorch-cyclegan

Pytorch implementation of CycleGAN

pytorch-ssd300

Pytorch Implementation for SSD300

resilience_against_aes

Malware Image Classification

segformer

Official PyTorch implementation of SegFormer

spbn_adversarial_training

ugatit-pytorch

[Forked] Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

vissl

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

wgan-pytorch-implementation

AI502