6121 Open source projects that are alternatives of or similar to Ganotebooks

Repository for implementation of generative models with Tensorflow 1.x

Collection of generative models in Pytorch version.

Simple Implementation of many GAN models with PyTorch.

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

Collection of generative models in Tensorflow

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

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..

Simple Pytorch implementations of most used Generative Adversarial Network (GAN) varieties.

Awesome Generative Adversarial Networks with tensorflow

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

Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images

GANs Implementations in Keras

Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

Periodic Spatial Generative Adversarial Networks

DCGAN LSGAN WGAN-GP DRAGAN Tensorflow 2

Playing with MNIST. Machine Learning. Generative Models.

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

MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN

DCGAN face generator 🧑.

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

Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspberry Pi3 Ubuntu Core

Image completion using deep convolutional generative adversarial nets in tensorflow

DCGAN image generator 🖼️.

Virtual Clothing Try-on with Deep Learning. PyTorch reproduction of SwapNet by Raj et al. 2018. Now with Docker support!

Pure tensorflow implementation of progressive growing of GANs

StarNet

Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"

Applied several Generative Adversarial Networks (GAN) techniques such as: DCGAN, WGAN and StyleGAN to generate Anime Faces and Handwritten Digits.

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

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

A DCGAN that generate Cat pictures 🐱‍💻

Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)

traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

DEPRECATED: Depth Map Estimation from Monocular Images

Simple and extensible GAN image-to-image translation framework. Supports natural and medical images.

MXNet Implementation of DCGAN, Conditional GAN, pix2pix

DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络（GAN,Generative Adversarial Network）图像生成的理论与实践研究。

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

A course in reinforcement learning in the wild

[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.

Interactive Image Generation via Generative Adversarial Networks

Chainer implementation of recent GAN variants

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

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

Generative Adversarial Networks implemented in PyTorch and Tensorflow

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

GAN models with Anime.

Image-to-image translation with conditional adversarial nets

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

DL course co-developed by YSDA, HSE and Skoltech

A Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.

3-day dive into deep learning at csc

People removal in images using Pix2Pix and YOLO.

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.

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

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs

Chainer implementation of Wasserstein GAN