Faking your webcam background under GNU/Linux, now supports background blurring, animated background, colour map effect, hologram effect and on-demand processing.

A filesystem which allows you to mount HTTP directory listings or a single file, with a permanent cache. Now with Airsonic / Subsonic support!

Hackable and optimized Transformers building blocks, supporting a composable construction.

A latent text-to-image diffusion model

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

⚡ A Fast, Extensible Progress Bar for Python and CLI

This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-e…

Unsupervised learning and generative models in python/pytorch.

Customisable Variational Autoencoder in PyTorch

Example of vanilla VAE for face image generation at resolution 128x128 using pytorch.

Some implementations of GAN.

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

Probabilistic Auto-Encoder

The Official PyTorch Implementation of "LSGM: Score-based Generative Modeling in Latent Space" (NeurIPS 2021)

Variational AutoEncoder + ResNet Transfer Learning

PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]

Compute FID scores with PyTorch.

This repository contains code for generating new faces using GANs. For this i have taken CelebA Dataset.

Code and notebooks related to the paper: "Reconstructing Faces from fMRI Patterns using Deep Generative Neural Networks" by VanRullen & Reddy, 2019

PyTorch implementation of Generative Adversarial Networks by Ian Goodfellow et al. on the MNIST dataset.

Code and hyperparameters for the paper "Generative Adversarial Networks"

A Collection of Variational Autoencoders (VAE) in PyTorch.

Train DCGAN with TPUs on Google Cloud

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

Simple Implementation of many GAN models with PyTorch.

An IPython notebook explaining the concepts of Variational Autoencoders and building one using Keras to generate new faces.

Variational auto-encoder trained on celebA . All rights reserved.

To obtain high resolution face images from CelebA

Generative Adversarial Networks in PyTorch