6435 Open source projects that are alternatives of or similar to Gan Tutorial

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.

爬虫+脸部识别+DCGAN脸部自动生成

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..

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

The Simplest DCGAN Implementation

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

[ISBI'21] MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis

Unsupervised Anomaly Detection with Generative Adversarial Networks on MIAS dataset

Little More Advanced TensorFlow Implementations

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

Experiments for understanding disentanglement in VAE latent representations

Invert the color of MNIST images with PyTorch

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

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

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

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

A MNIST-like fashion product database. Benchmark 👇

Discovering Interpretable GAN Controls [NeurIPS 2020]

Early stopping for PyTorch

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

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

Implementation of ews weight constraint mentioned in recent Deep Mind paper: http://www.pnas.org/content/early/2017/03/13/1611835114.full.pdf

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

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

Privacy-preserving generative deep neural networks support clinical data sharing

Train DCGAN with TPUs on Google Cloud

PyTorch tutorials A to Z

Comparison of Generative Models in Tensorflow

Spectral Normalization for Keras Dense and Convolution Layers

Real-time Number Recognition using Apple's CoreML 2.0 and MNIST -

Visualization of GAN training process

Modified h5tool.py make user getting celeba-HQ easier

A Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.

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

Image-to-image translation with conditional adversarial nets

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

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

DCGAN LSGAN WGAN-GP DRAGAN PyTorch

MSG-GAN: Multi-Scale Gradients GAN (Architecture inspired from ProGAN but doesn't use layer-wise growing)

Projecting images to latent space with StyleGAN2.

PyTorch implementation of DCGAN, WGAN-GP and SNGAN.

🙄 Difficult algorithm, Simple code.

Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.

This is a sample project demonstrating the use of Keras (Tensorflow) for the training of a MNIST model for handwriting recognition using CoreML on iOS 11 for inference.

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

Deep Learning From Scratch

🎎 InfoGAN: Interpretable Representation Learning

Resources and Implementations of Generative Adversarial Nets which are focusing on how to stabilize training process and generate high quality images: DCGAN, WGAN, EBGAN, BEGAN, etc.

Semantic Image Inpainting

Deploy and scale serverless machine learning app - in 4 steps.

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

Image completion using deep convolutional generative adversarial nets in tensorflow

StarNet

An implementation of Pix2Pix in Tensorflow for use with frames from films

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Material for the tutorial: "Deep Diving into GANs: from theory to production"

A stable algorithm for GAN training

Çeşitli kütüphaneler kullanılarak Türkçe kod açıklamalarıyla TEMEL SEVİYEDE pratik derin öğrenme uygulamaları.

GAN in Tensorflow to be run via Linux command line