PDaddi's repositories
SimCLR
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
PyTorch-StudioGAN
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
adv-gan-cifar
Adversarial GANs to fool CIFAR10 classifiers.
pixel2style2pixel
Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
Pytorch-VAE
This is an implementation of the VAE (Variational Autoencoder) for Cifar10
StyleGAN.pytorch
A PyTorch implementation for StyleGAN with full features.
pytorch-cifar-models
Pretrained models on CIFAR10/100 in PyTorch
stylegan
StyleGAN - Official TensorFlow Implementation
glow-pytorch
PyTorch implementation of Glow
pytorch-SelectiveNet
Unofficial pytorch implementation of 'SelectiveNet: A Deep Neural Network with an Integrated Reject Option' [Geifman+, ICML2019]
SimCLR-1
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.
cifar10_challenge
A challenge to explore adversarial robustness of neural networks on CIFAR10.
vision
Datasets, Transforms and Models specific to Computer Vision
SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
patch-forensics
Investigating patches for fake image classification
Unsupervised-Classification
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
Adversarial-Learning
Adversarial Learning Course Homework soultion
normalizing-flows-pytorch
PyTorch implementations of normalizing flow and its variants.
dla
Code for the CVPR 2018 Oral Paper "Deep Layer Aggregation"
pytorch_segmentation
Semantic segmentation models, datasets and losses implemented in PyTorch.
Folder-Structure-Conventions
Folder / directory structure options and naming conventions for software projects
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
Local-Search-for-SAT
Implementation of local search-based algorithms for solving SAT and Max-SAT in Python
DoubleDIP
Official implementation of the paper "Double-DIP: Unsupervised Image Decomposition via Coupled Deep-Image-Priors"
GOAD
Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.
ZSSR
"Zero-Shot" Super-Resolution using Deep Internal Learning