6548 Open source projects that are alternatives of or similar to Psgan

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

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

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

DL course co-developed by YSDA, HSE and Skoltech

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

3-day dive into deep learning at csc

PyTorch Implementation of DCGAN trained on the CelebA dataset.

GAN in Tensorflow to be run via Linux command line

DCGAN face generator 🧑.

A deep generative model library in Theano and Lasagne

A DCGAN that generate Cat pictures 🐱‍💻

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

A course in reinforcement learning in the wild

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

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..

Semantic Image Inpainting

DCGAN image generator 🖼️.

Simple Implementation of many GAN models with PyTorch.

Intro to Deep Learning, including recurrent, convolution, and feed forward neural networks.

No description or website provided.

Spectral Normalization for Keras Dense and Convolution Layers

Pytorch implementation of pix2pix for various datasets.

Collection of generative models in Tensorflow

A stable algorithm for GAN training

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

Speech Enhancement Generative Adversarial Network in TensorFlow

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

Generative Adversarial Networks (GANs) resources sorted by citations

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

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

Code for "Adversarial and Perceptual Refinement Compressed Sensing MRI Reconstruction"

Theano implementation of XNOR-Net

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Projecting images to latent space with StyleGAN2.

Sets up a VM with Keras, TensorFlow, TFLearn and Theano installed

Keras implementation of Deep Convolutional Generative Adversarial Networks

Train DCGAN with TPUs on Google Cloud

PyTorch implementation of " Synthesizing Audio with Generative Adversarial Networks"

The implementation of Relativistic average GAN with Keras

Collection of iris classifcation program for teaching purpose

PyTorch implementation of CycleGAN

Novel molecules from a reference shape!

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.

Setup and customize deep learning environment in seconds.

Protein function prediction using a variational autoencoder

爬虫+脸部识别+DCGAN脸部自动生成

Keras implementations of Generative Adversarial Networks.

CPU/GPU/TPU implementation of the Fréchet Inception Distance

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。

Image-to-image translation with conditional adversarial nets

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

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

Code to train and evaluate the GeNeVA-GAN model for the GeNeVA task proposed in our ICCV 2019 paper "Tell, Draw, and Repeat: Generating and modifying images based on continual linguistic instruction"

Visualization of GAN training process

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》)

Discovering Interpretable GAN Controls [NeurIPS 2020]

Neural Paiters