247 Open source projects that are alternatives of or similar to Pytorch Gans

Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

Official PyTorch implementation of GDWCT (CVPR 2019, oral)

Generative Adversarial Transformers

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

Research Framework for easy and efficient training of GANs based on Pytorch

Generative Adversarial Networks (GANs) resources sorted by citations

[CVPR 2020] Official Implementation: "Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models".

[NeurIPS 2018] 3D-Aware Scene Manipulation via Inverse Graphics

[CVPR 2022] StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2

PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

CoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.

Jupyter notebooks used as supporting material for an msc thesis about personalised aesthetic assessment using residual adapters.

A collection of natural language processing notebooks.

A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.

EigenGAN: Layer-Wise Eigen-Learning for GANs (ICCV 2021)

line drawing colorization using TensorFlow

Official implementation of "Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis"(WACV 2022/CVPRW 2021)

This is a pix2pix demo that learns from edge and translates this into view. A interactive application is also provided that translates edge to view.

Using cGANs to remove objects from a photo

No description or website provided.

No description or website provided.

[CVPR '21] Official repository for Few-shot Image Generation via Cross-domain Correspondence

VapourSynth Single Image Super-Resolution Generative Adversarial Network (GAN)

Codes for the paper 'Learning to Fuse Music Genres with Generative Adversarial Dual Learning' ICDM 17

Semi-supervised Learning GAN

Deep learning library in python from scratch

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

Reference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).

An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP

Generating Text through Adversarial Training(GAN) using Skip-Thought Vectors

Facial Sketch Render, ICASSP 2021

CFG-GAN: Composite functional gradient learning of generative adversarial models

papers and codes about GAN

Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)

How to create Selfie2Anime from tflite model to Android.

Generative deep learning: DeepDream

Progressively growing of GANs Pytorch Implementation

Generate Cartoon Images using Generative Adversarial Network

No description or website provided.

Примеры для курса "Программирование глубоких нейронных сетей на Python"

Reconstruction of the fast neural style transfer (Johnson et al.). Some portions of the paper have been improved by the follow-up work like the instance normalization, etc. Checkout transformer_net.py's header for details.

Generative Adversarial Network for single image super-resolution in high content screening microscopy images

Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)

Zero Shot Learning with Feature Generating Networks

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

[CVPR 2022] Improving GAN Equilibrium by Raising Spatial Awareness

CVPR 2021: "Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE"

Guided Conditional Wasserstein GAN for De Novo Protein Design

SiENet: Siamese Expansion Network for Image Extrapolation(IEEE SPL2020)

Easy-to-follow Pytorch tutorial Notebook for Multi-Agent-Diverse-Generative-Adversarial-Networks

Implementation of TransGanFormer, an all-attention GAN that combines the finding from the recent GanFormer and TransGan paper

BigGAN; Knowledge Distillation; Black-Box; Fast Training; 16x compression

tensorflow2.x implementations of Generative Adversarial Networks.

Deep learning tutorial

Introduction to Deep Learning: Chainer Tutorials

my own deep learning mastery roadmap

Invert the color of MNIST images with PyTorch

The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.