TanmDL

SLPPL-GAN

This project handles imbalance classification problem by adversarial approach.

WATT-EffNet

WATT-EffNet: A Lightweight and Accurate Model for Classifying Aerial Disaster Images

SCALE

ACDC

ACDC: Online Unsupervised Cross-Domain Adaptation

ASM

( NeurIPS 2020 ) Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation

Class-Distribution-Aware-TS-LS

CLS-ER

The official PyTorch code for ICLR'22 Paper "Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System""

DeepSurvivalMachines

Deep Survival Machines - Fully Parametric Survival Regression

dimensions

Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J

few-shot-gan-adaptation

[CVPR '21] Official repository for Few-shot Image Generation via Cross-domain Correspondence

interpret

Fit interpretable models. Explain blackbox machine learning.

l2p

Learning to Prompt (L2P) for Continual Learning @ CVPR22

LIA

[ICLR 22] Latent Image Animator: Learning to Animate Images via Latent Space Navigation

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

MEAT-TIL

CVPR2022: Meta-attention for ViT-backed Continual Learning

MineGAN

GAN, transfer learning, few data.

mlp-mixer-pytorch

An All-MLP solution for Vision, from Google AI

Official-pytorch-implementation-of-AOP-AAAI-2022-

Projects-Solutions

:pager: Links to others' solutions to Projects (https://github.com/karan/Projects/)

pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

Salehi_submitted_2020

This repository contains the codes to reproduce the results of our proposed novelty detection algorithm based on adversarially robust autoencoder.

segformer-pytorch

Implementation of Segformer, Attention + MLP neural network for segmentation, in Pytorch

TransGAN

[Preprint] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang

TT-DDEA

Pengfei Huang,Handing Wang,Yaochu Jin,Offine Data-Driven Evolutionary Optimization Based on Tri-Training, Swarm and Evolutionary Computation, Accepted.

U-2-Net

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

vision-language-models-are-bows

Experiments and data for the paper "When and why vision-language models behave like bags-of-words, and what to do about it?" Oral @ ICLR 2023

vision_transformer

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

web-page

This is my webpage repository

WOODS

Benchmarks for Out-of-Distribution Generalization in Time Series Tasks