6843 Open source projects that are alternatives of or similar to Calogan

A stable algorithm for GAN training

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

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

On the "steerability" of generative adversarial networks

Spectral Normalization for Keras Dense and Convolution Layers

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

Discovering Interpretable GAN Controls [NeurIPS 2020]

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

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

Privacy-preserving generative deep neural networks support clinical data sharing

The implementation of Relativistic average GAN with Keras

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

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

DCGAN image generator 🖼️.

Solve captcha without manually labeling a training set

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

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

Projecting images to latent space with StyleGAN2.

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

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

T2F: text to face generation using Deep Learning

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

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

a tensorflow implementation of WGAN

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

Awesome Generative Adversarial Networks with tensorflow

Synthesizing and manipulating 2048x1024 images with conditional GANs

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

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

Tutorial on creating your own GAN in Tensorflow

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

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)

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)

Simulations of gravitational interaction of the random n-body systems

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

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.

A Python package for flavour physics phenomenology in the Standard model and beyond

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

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

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

Generative Adversarial Networks in Keras

An implementation of CycleGan using TensorFlow

Composable GAN framework with api and user interface

Image-to-image translation with conditional adversarial nets