6398 Open source projects that are alternatives of or similar to Catdcgan

Periodic Spatial Generative Adversarial Networks

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

Generate cat images with neural networks

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

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

DCGAN face generator 🧑.

Simple Implementation of many GAN models with PyTorch.

DCGAN image generator 🖼️.

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

Awesome Generative Adversarial Networks with tensorflow

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

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

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

a tensorflow implementation of WGAN

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

Keras implementation of Deep Convolutional Generative Adversarial Networks

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

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

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.

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

PyTorch Implementation of DCGAN trained on the CelebA dataset.

爬虫+脸部识别+DCGAN脸部自动生成

Image-to-image translation with conditional adversarial nets

Privacy-preserving generative deep neural networks support clinical data sharing

Chainer implementation of Wasserstein GAN

🙄 Difficult algorithm, Simple code.

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

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

Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking

Solve captcha without manually labeling a training set

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

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

Interactive Image Generation via Generative Adversarial Networks

Tensorflow implementation of different GANs and their comparisions

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

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

The implementation of Relativistic average GAN with Keras

Train DCGAN with TPUs on Google Cloud

Neural Paiters

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

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

Discovering Interpretable GAN Controls [NeurIPS 2020]

Spectral Normalization for Keras Dense and Convolution Layers

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》)

Visualization of GAN training process

Projecting images to latent space with StyleGAN2.

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

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

A minimal implementaion (less than 150 lines of code with visualization) of DCGAN/WGAN in PyTorch with jupyter notebooks

Semantic Image Inpainting

StarNet

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

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

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

Little More Advanced TensorFlow Implementations

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

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

A repository to keep track of all the code that I end up writing for my blog posts.