943 Open source projects that are alternatives of or similar to coursera-gan-specialization

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

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

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

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..

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

Toward Multimodal Image-to-Image Translation

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

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

Semantic Image Inpainting

[CVPR2020] Adversarial Latent Autoencoders

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

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

Improving MMD-GAN training with repulsive loss function

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

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

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild

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

Implementation of paper everybody dance now for Deep learning course project

Collection of generative models in Pytorch version.

Awesome Generative Adversarial Networks with tensorflow

Image-to-Image Translation in PyTorch

Repository for implementation of generative models with Tensorflow 1.x

Interactive Image Generation via Generative Adversarial Networks

Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)

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

Image-to-image translation with conditional adversarial nets

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

An official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018

🔥3D-RecGAN++ in Tensorflow (TPAMI 2018)

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

🔥3D-RecGAN in Tensorflow (ICCV Workshops 2017)

Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)

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

Spectral Normalization for Keras Dense and Convolution Layers

Unofficial PyTorch implementation of "Progressive Growing of GANs for Improved Quality, Stability, and Variation".

A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image

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

Focal Frequency Loss for Generative Models

Anime Generation

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.

Conditional GAN for Anime face generation.

chainer implementation of pix2pix

Page to PAGE Layout Analysis Tool

Implementation of Conditional Generative Adversarial Networks in PyTorch

Pure tensorflow implementation of progressive growing of GANs

Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Generative Adversarial Networks in TensorFlow 2.0

A stable algorithm for GAN training

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery