swagat25's repositories
BasicSR
Fork of Basic Super-Resolution codes for development. Includes ESRGAN, SFT-GAN, PPON for training and testing.
d2l-en
Dive into Deep Learning: an interactive deep learning book with code, math, and discussions
gen-efficientnet-pytorch
Pretrained EfficientNet, MixNet, MobileNetV3, MNASNet A1 and B1, FBNet, Single-Path NAS
torchgan
Research Framework for easy and efficient training of GANs based on Pytorch
Torchelie
Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.
partialconv
A New Padding Scheme: Partial Convolution based Padding
pytorch-lightning
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
GDL_code
The official code repository for examples in the O'Reilly book 'Generative Deep Learning'
AdversarialNetsPapers
The classical paper list with code about generative adversarial nets
awesome-deep-learning-papers
The most cited deep learning papers
Awesome-Super-Resolution
Collect super-resolution related papers, data, repositories
image-super-resolution
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Ranger-Deep-Learning-Optimizer
Ranger - a synergistic optimizer using RAdam (Rectified Adam) and LookAhead in one codebase
PerceptualSimilarity
Learned Perceptual Image Patch Similarity (LPIPS) metric. In CVPR, 2018.
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
mmsr
Open MMLab Image and Video Super-Resolution Toolbox, , including SRResNet, SRGAN, ESRGAN, EDVR, etc.
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
over9000
Over9000 optimizer
GAN_stability
Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
Spring2019
The Computer Vision Course at IITB (CS763), Spring 2019
Single-Image-Super-Resolution
A collection of high-impact and state-of-the-art SR methods
VideoSuperResolution
A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.
elpips
E-LPIPS: Robust Perceptual Image Similarity via Random Transformation Ensembles
gandissect
Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/
Delving-deep-into-GANs
Generative Adversarial Networks (GANs) resources sorted by citations
RelativisticGAN
Code for replication of the paper "The relativistic discriminator: a key element missing from standard GAN"