516 Open source projects that are alternatives of or similar to pytorch-GAN

Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

A stable algorithm for GAN training

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

Spectral Normalization for Keras Dense and Convolution Layers

Semantic Image Inpainting

ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.

Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)

[CVPR2020] Adversarial Latent Autoencoders

Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)

Improving MMD-GAN training with repulsive loss function

Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

Pytorch implementation of CycleGAN.

Training a MNIST classifier, and use it to compute inception score (ICP)

Python script to load a Kdenlive (OSS NLE video editor) project file, and conform the edit on video or numpy arrays.

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Listing my favorite research papers 📝 from different fields as I read them.

[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild

Tensorflow-based framework to ease training of generative models

TriangleGAN, ACM MM 2019.

Generative Adversarial Networks in PyTorch

Conditional GAN for Anime face generation.

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

Anime Generation

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

Stacked Generative Adversarial Networks

Path Planning using Generative Adversarial Network (GAN)

Performance comparison of existing GAN based Text To Image algorithms. (GAN-CLS, StackGAN, TAC-GAN)

A basic and simple tool for code auto completion

PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech

🐳 GAN implemented as Tensorflow 2.X

A repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field

🤖🖌️ Generate photo-realistic textures based on source images. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

Generate image from text with Generative Adversarial Network

Unofficial PyTorch implementation of "Progressive Growing of GANs for Improved Quality, Stability, and Variation".

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.

Pure tensorflow implementation of progressive growing of GANs

A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image

SMILE: Semantically-guided Multi-attribute Image and Layout Editing, ICCV Workshops 2021.

Official Repository for the paper Style Transfer for Co-Speech Gesture Animation: A Multi-Speaker Conditional-Mixture Approach published in ECCV 2020 (https://arxiv.org/abs/2007.12553)

Feed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt

Tensorflow Implementation for paper "self-supervised generative adversarial networks"

Given a simple anime line-art sketch the model outputs a decent colored anime image using Conditional-Generative Adversarial Networks (C-GANs) concept.

Official code (Pytorch) for paper Perception-Enhanced Single Image Super-Resolution via Relativistic Generative Networks

Code for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"

Implementation of Conditional Generative Adversarial Networks in PyTorch

Tensorflow implementation of paper "unsupervised image to image translation networks"

[ICLR 2021] "GANs Can Play Lottery Too" by Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen

Implementation of NeurIPS 20 paper: Latent Template Induction with Gumbel-CRFs

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

Torch Implemention of ECCV'16 paper: Attribute2Image

PyTorch implementation of "Conditional Image Generation with PixelCNN Decoders" by van den Oord et al. 2016

Generative Adversarial Networks in TensorFlow 2.0

Paper notes in deep learning/machine learning and computer vision

Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Joint collaboration between the Marks lab and the OATML group.