610 Open source projects that are alternatives of or similar to Generative Models

Collection of generative models in Tensorflow

O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks

Tensorflow implementation of adversarial auto-encoder for MNIST

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

A MNIST-like fashion product database. Benchmark 👇

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

Minimalist implementation of VQ-VAE in Pytorch

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

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

Stochastic Adversarial Video Prediction

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

Tensorflow implementation of different GANs and their comparisions

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

Simple Implementation of many GAN models with PyTorch.

🎎 InfoGAN: Interpretable Representation Learning

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

Experiments for understanding disentanglement in VAE latent representations

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Tensorflow implementation of variational auto-encoder for MNIST

Collection of generative models in Pytorch version.

Generative Adversarial Network for MNIST with tensorflow

Invert the color of MNIST images with PyTorch

Playing with MNIST. Machine Learning. Generative Models.

A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).

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

Advanced Deep Learning with Keras, published by Packt

The implementation of Relativistic average GAN with Keras

Tensorflow implementation of conditional variational auto-encoder for MNIST

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

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

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Unofficial PyTorch Implementation of SUM-GAN from "Unsupervised Video Summarization with Adversarial LSTM Networks" (CVPR 2017)

An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU) in ICLR 2017.

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

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Paper collection of Neural Text Generation

Real-time Number Recognition using Apple's CoreML 2.0 and MNIST -

Modified h5tool.py make user getting celeba-HQ easier

Pytorch implementation of pix2pix for various datasets.

Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch

Visualization of GAN training process

A Keras implementation of image deblurring based on ICCV 2017 paper "Deep Generative Filter for motion deblurring"

Compute FID scores with PyTorch.

《深度学习与计算机视觉》配套代码

Multinomial Adversarial Networks for Multi-Domain Text Classification (NAACL 2018)

Privacy-preserving generative deep neural networks support clinical data sharing

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

A Tensorfflow implementation of Attend, Infer, Repeat

Code to train and evaluate the GeNeVA-GAN model for the GeNeVA task proposed in our ICCV 2019 paper "Tell, Draw, and Repeat: Generating and modifying images based on continual linguistic instruction"

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

A PyTorch implementation of SEGAN based on INTERSPEECH 2017 paper "SEGAN: Speech Enhancement Generative Adversarial Network"

Add colors to black and white images with neural networks (GANs).

Tensorflow Implementation of GAN modeling for sequential data

TensorFlow GAN implementation using Gumbel Softmax

Unity Post Processing with Convolution Neural Network

Label Embedding Network

An implementation for mnist center loss training and visualization

TensorFlow 2.0 library for distributed training, evaluation, model selection, and fast prototyping.