804 Open source projects that are alternatives of or similar to Tensorflow Mnist Gan Dcgan

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

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

Semantic Image Inpainting

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

🎎 InfoGAN: Interpretable Representation Learning

The implementation of Relativistic average GAN with Keras

Image-to-image translation with conditional adversarial nets

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

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

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

The Simplest DCGAN Implementation

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

Interactive Image Generation via Generative Adversarial Networks

Invert the color of MNIST images with PyTorch

Awesome Generative Adversarial Networks with tensorflow

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

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

DCGAN image generator 🖼️.

Collection of generative models in Pytorch version.

Tensorflow implementation of different GANs and their comparisions

Simple Implementation of many GAN models with PyTorch.

GAN in Tensorflow to be run via Linux command line

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

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Deep generative models implemented with TensorFlow 2.0: eg. Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Deep Boltzmann Machine (DBM), Convolutional Variational Auto-Encoder (CVAE), Convolutional Generative Adversarial Network (CGAN)

DCGAN face generator 🧑.

Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)

爬虫+脸部识别+DCGAN脸部自动生成

Generative Adversarial Networks in Keras

Unsupervised anomaly detection with generative model, keras implementation

Composable GAN framework with api and user interface

An implementation of CycleGan using TensorFlow

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

Train DCGAN with TPUs on Google Cloud

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

A DCGAN to generate anime faces using custom mined dataset

A MNIST-like fashion product database. Benchmark 👇

Compute FID scores with PyTorch.

Generative Adversarial Networks and Autoencoders for 3D Shapes

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

Discovering Interpretable GAN Controls [NeurIPS 2020]

[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation

Focal Frequency Loss for Generative Models

Privacy-preserving generative deep neural networks support clinical data sharing

Chainer implementation of Wasserstein GAN

Official PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

PyTorch Implementation of DCGAN trained on the CelebA dataset.

[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks

SpecGAN - generate audio with adversarial training

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

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

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

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

Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)

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

Spectral Normalization for Keras Dense and Convolution Layers

A PyTorch implementation for StyleGAN with full features.

Periodic Spatial Generative Adversarial Networks