Sachin Chhabra's starred repositories
Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
pytorch-semseg
Semantic Segmentation Architectures Implemented in PyTorch
pytorch-semantic-segmentation
PyTorch for Semantic Segmentation
pytorch-segmentation
:art: Semantic segmentation models, datasets and losses implemented in PyTorch.
DenoisingDiffusionProbabilityModel-ddpm-
This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.
pytorch_diffusion
PyTorch reimplementation of Diffusion Models
FCN-pytorch
🚘 Easiest Fully Convolutional Networks
PyTorch-Scratch-Vision-Transformer-ViT-MNIST-CIFAR10
Simplified Pytorch implementation of Vision Transformer (ViT) for small datasets like MNIST, FashionMNIST, SVHN and CIFAR10.
pascal-voc-classification
PASCAL VOC Object Classification: The goal of this project is to recognize objects from a number of visual object classes in realistic scenes.
Pytorch-cGAN-conditional-GAN
Pytorch implementation of conditional generative adversarial network (cGAN) using DCGAN architecture for generating 32x32 images of MNIST, SVHN, FashionMNIST, and USPS datasets.
Duplicate-Images-Photos-Video-Finder
Find all the duplicate images in a folder by pixel-wise comparison and deletes them. Repeats it for all sub-directories as well.
Multi_Label_Classification_pytorch
multi label classification
Graph-Graph
Official PyTorch implementation of the paper 'Graph(Graph): A Nested Graph-Based Framework for Early Accident Anticipation'