Pinned Repositories
3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
A-Large-scale-Attribute-Dataset-for-Zero-shot-Learning
The download link for the dataset LAD.
advex-uar
Code for "Testing Robustness Against Unforeseen Adversaries"
albumentations_examples
Augmentations usage examples for albumentations library
APN-ZSL
This is a PyTorch implementation of the paper "Attribute Prototype Network for Zero-Shot Learning".
AttributeBasedTransferLearning
Attribute Based Transfer Learning implementation
Augmentor
Image augmentation library in Python for machine learning.
Counterfactual-Explanations
Pytorch code for the paper Interpreting Adversarial Examples with Attributes
HIPE
WWNet
sadafgulshad1's Repositories
sadafgulshad1/Counterfactual-Explanations
Pytorch code for the paper Interpreting Adversarial Examples with Attributes
sadafgulshad1/HIPE
sadafgulshad1/WWNet
sadafgulshad1/3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
sadafgulshad1/APN-ZSL
This is a PyTorch implementation of the paper "Attribute Prototype Network for Zero-Shot Learning".
sadafgulshad1/Augmentor
Image augmentation library in Python for machine learning.
sadafgulshad1/Awesome-Video-Datasets
Video datasets
sadafgulshad1/cvpr20_DAZLE
sadafgulshad1/DFL-CNN
sadafgulshad1/HiREST
Hierarchical Video-Moment Retrieval and Step-Captioning (CVPR 2023)
sadafgulshad1/hyperbolic_action
Code of CVPR2020 Paper "Searching for actions on the hyperbole"
sadafgulshad1/hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
sadafgulshad1/kornia
Open Source Differentiable Computer Vision Library for PyTorch
sadafgulshad1/mini-imagenet-tools
Tools for generating mini-ImageNet dataset and processing batches
sadafgulshad1/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
sadafgulshad1/opencv_transforms
OpenCV implementation of Torchvision's image augmentations
sadafgulshad1/paintingsbysadafg
sadafgulshad1/ProtoPNet
This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaofan Chen* (Duke University), Oscar Li* (Duke University), Chaofan Tao (Duke University), Alina Jade Barnett (Duke University), Jonathan Su (MIT Lincoln Laboratory), and Cynthia Rudin (Duke University) (* denotes equal contribution).
sadafgulshad1/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
sadafgulshad1/pytorch-multilabel-balanced-sampler
PyTorch sampler that outputs roughly balanced batches with support for multilabel datasets
sadafgulshad1/PyTorch-Pretrained-ViT
Vision Transformer (ViT) in PyTorch
sadafgulshad1/robust_overfitting
sadafgulshad1/robustness
Corruption and Perturbation Robustness (ICLR 2019)
sadafgulshad1/starGAN_v2
starGAN v2 pytorch implementation
sadafgulshad1/T2T-ViT
ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
sadafgulshad1/TransferAttack
TransferAttack is a pytorch framework to boost the adversarial transferability for image classification.
sadafgulshad1/TransFG
This is the official PyTorch implementation of the paper "TransFG: A Transformer Architecture for Fine-grained Recognition" (Ju He, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan Yuille).
sadafgulshad1/tutorials
PyTorch tutorials.
sadafgulshad1/vision
Datasets, Transforms and Models specific to Computer Vision
sadafgulshad1/ViT-pytorch
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)