776 Open source projects that are alternatives of or similar to Tensorflow Mnist Cgan Cdcgan

The implementation of Relativistic average GAN with Keras

🎎 InfoGAN: Interpretable Representation Learning

Invert the color of MNIST images with PyTorch

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

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

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

Collection of generative models in Pytorch version.

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

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).

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

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

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

Handwritten Chinese Characters Generation

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

🔥🔥 PyTorch implementation of "Progressive growing of GANs (PGGAN)" 🔥🔥

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

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

InstaGAN: Instance-aware Image Translation (ICLR 2019)

Synthesizing and manipulating 2048x1024 images with conditional GANs

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

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

An AI for Music Generation

Spectral Normalization for Keras Dense and Convolution Layers

Generative Adversarial Networks in Keras

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Using Machine Learning to predict the type of exercise from movement data

👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

T2F: text to face generation using Deep Learning

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

Projecting images to latent space with StyleGAN2.

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

Awesome Generative Adversarial Networks with tensorflow

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

Generate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.

An application tool of edge-connect, which can do anime inpainting and drawing. 动漫人物图片自动修复，去马赛克，填补，去瑕疵

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

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

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

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

Image-to-image translation with conditional adversarial nets

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

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)

A list of all named GANs!

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

Composable GAN framework with api and user interface

An implementation of CycleGan using TensorFlow

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

🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)

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

Discovering Interpretable GAN Controls [NeurIPS 2020]

Tensorflow implementation of different GANs and their comparisions

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

A MNIST-like fashion product database. Benchmark 👇

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

SpecGAN - generate audio with adversarial training

Comparison of Generative Models in Tensorflow