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PyTorch implementations of Unsupervised Domain Adaptation Techniques.
Find all the duplicate images in a folder by pixel-wise comparison and deletes them. Repeats it for all sub-directories as well.
Find all the duplicate videos in a folder and deletes them. Repeats it for all sub-directories as well.
Official Pytorch code of Generative Alignment of Posterior Probabilities for Source-free Domain Adaptation
Official PyTorch Implementation of Glocal Alignment for Unsupervised Domain Adaptation
Official Pytorch Implementation of PatchRot: A Self-Supervised Technique for Training Vision Transformers
Official Pytorch code for PatchSwap: A Regularization Technique for Vision Transformers
Pytorch implementation of conditional generative adversarial network (cGAN) using DCGAN architecture for generating 32x32 images of MNIST, SVHN, FashionMNIST, and USPS datasets.
Unofficial Pytorch implementation of CycleGAN for MNIST, USPS, SVHN, MNIST-M, and SyntheticDigits datasets.
Unofficial PyTorch implementation of Domain-Adversarial Training of Neural Networks
Pytorch implementation of DCGAN for generating 64x64 images.
Pytorch implementation of DCGAN for generating 32x32 images of SVHN, CIFAR10, MNIST, FashionMNIST, and USPS dataset.
PyTorch implementations of Generative Adversarial Networks (GAN) variants
Pytorch implementation of LSGAN for generating 112x112images.
Pytorch implementation of LSGAN for generating MNIST images.
Unofficial PyTorch implementation of Maximum Domain Confusion loss for Unsupervised Domain Adaptation
Pytorch implementation of Neural Style Transfer
Pytorch implementation of a small GAN network for MNIST, FashionMNIST, and USPS dataset.
Unofficial Pytorch implementation of StarGAN for generating Digit-5 datasets (MNIST, SVHN, SynDigits, MNIST-M, and USPS).
Pytorch implementation of Vanilla-GAN for MNIST, FashionMNIST, and USPS dataset.
Simplified Pytorch implementation of Vision Transformer (ViT) for small datasets like MNIST, FashionMNIST, SVHN and CIFAR10.
Pytorch implementation of WGAN using DCGAN architecture for generating 64x64 images.
Pytorch implementation of Improved Training of Wasserstein GANs or WGAN-GP (Wasserstein GAN with Gradient Penalty) using DCGAN architecture for generating 64x64 images.
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🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.