6516 Open source projects that are alternatives of or similar to Sprint_gan

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

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

Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".

Projecting images to latent space with StyleGAN2.

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.

The implementation of Relativistic average GAN with Keras

Spectral Normalization for Keras Dense and Convolution Layers

A stable algorithm for GAN training

Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation

DCGAN image generator 🖼️.

On the "steerability" of generative adversarial networks

由淺入深的深度學習資源 Collection of deep learning materials for everyone

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

Synthetic Data Generation for tabular, relational and time series data.

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Solve captcha without manually labeling a training set

Discovering Interpretable GAN Controls [NeurIPS 2020]

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

T2F: text to face generation using Deep Learning

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

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Awesome Generative Adversarial Networks with tensorflow

a tensorflow implementation of WGAN

Synthesizing and manipulating 2048x1024 images with conditional GANs

👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

Tutorial on creating your own GAN in Tensorflow

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).

PyTorch implementation of GAN-based text-to-speech synthesis and voice conversion (VC)

A collection of deep learning tutorials using Tensorflow and Python

🔥🔥 PyTorch implementation of "Progressive growing of GANs (PGGAN)" 🔥🔥

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

An application tool of edge-connect, which can do anime inpainting and drawing. 动漫人物图片自动修复，去马赛克，填补，去瑕疵

InstaGAN: Instance-aware Image Translation (ICLR 2019)

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

An AI for Music Generation

Generate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

Given an image and a target viewpoint, generate synthetic image in the target viewpoint

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)

Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)

This toolbox is support material for the book on CNN (http://www.convolution.network).

Generative Adversarial Networks in Keras

An implementation of CycleGan using TensorFlow

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

This is the research product of the thesis manifold Learning of Latent Space Vectors in GAN for Image Synthesis. This has an application to the research, name a facial recognition system. The application was developed by consulting the FaceNet model.

Composable GAN framework with api and user interface

Neural Paiters