Simple and easy to understand PyTorch implementation of Large Language Model (LLM) GPT and LLAMA from scratch with detailed steps. Implemented: Byte-Pair Tokenizer, Rotational Positional Embedding …

Tools for generating mini-ImageNet dataset and processing batches

Official PyTorch Implementation of Label Smoothing++: Enhanced Label Regularization for Training Neural Networks.

Official Pytorch code for PatchSwap: A Regularization Technique for Vision Transformers

PyTorch implementations of Generative Adversarial Networks.

The Python library for names.

PyTorch implementation of 2D Positional Encodings for Vision Transformers (ViT). Positional Encodings/Embeddings: Sinusoidal (Absolute), Learnable, Relative and Rotation (Rope).

Simple and easy to understand PyTorch implementation of Vision Transformer (ViT) from scratch with detailed steps. Tested on small datasets: MNIST, FashionMNIST, SVHN, CIFAR10, and CIFAR100.

Beginner Level Deep Learning Tutorials in Pytorch with Youtube Videos!

Official PyTorch Implementation of Glocal Alignment for Unsupervised Domain Adaptation

Official Pytorch Implementation of PatchRot: A Self-Supervised Technique for Training Vision Transformers

Python code to find duplicate images (photos) and videos in folders recursively and delete them (Optional).

From scratch, simple and easy-to-understand Pytorch implementation of various generative adversarial network (GAN): GAN, DCGAN, Conditional GAN (cGAN), WGAN, WGAN-GP, CycleGAN, LSGAN, and StarGAN.

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 reimplementation of Diffusion Models

multi label classification

A collection of resources and papers on Diffusion Models

🎨 Semantic segmentation models, datasets and losses implemented in PyTorch.

PyTorch for Semantic Segmentation

Semantic Segmentation Architectures Implemented in PyTorch

🚘 Easiest Fully Convolutional Networks

yolov3 by pytorch

PASCAL VOC Object Classification: The goal of this project is to recognize objects from a number of visual object classes in realistic scenes.

Official PyTorch implementation of the paper 'Graph(Graph): A Nested Graph-Based Framework for Early Accident Anticipation'

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet…

starter from "How to Train a GAN?" at NIPS2016