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[CVPR2020] Adversarial Latent Autoencoders

Tensorflow2 Generative Models ⭐ 833

Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.

AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

Dancenet ⭐ 453

DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)

Awesome Vaes ⭐ 448

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

Generative Models ⭐ 414

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

Focal Frequency Loss ⭐ 407

[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis

Cppn Gan Vae Tensorflow ⭐ 316

Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolution images.

Variational Ladder Autoencoder ⭐ 198

Implementation of VLAE

Net2net ⭐ 128

Network-to-Network Translation with Conditional Invertible Neural Networks

Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder

Stick Breaking_dgms ⭐ 78

Deep Generative Models with Stick-Breaking Priors

Vae For Image Generation ⭐ 75

Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets

Sequential Variational Autoencoder ⭐ 71

Implementation of Sequential Variational Autoencoder

Variational Autoencoder trained by Feature Perceputal Loss

Swae Pytorch ⭐ 59

Implementation of the Sliced Wasserstein Autoencoder using PyTorch

[ICCV 2023 Oral] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"

3dfacecam ⭐ 50

Implementation of a 3D Face Generative Model

Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding"

Vae_protein_function ⭐ 44

Protein function prediction using a variational autoencoder

Tf2 Published Models ⭐ 33

Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are implemented and can be seen in tensorboard.

github for "Molecular generative model based on conditional variational autoencoder for de novo molecular design"

Mnist_generative ⭐ 28

Reasonably-okay-performing implementation of a GAN and an adversarial autoencoder on MNIST.

Ctg Latentaes ⭐ 27

Awesome paper list of controllable text generation via latent auto-encoders. Contributions of any kind are welcome.

Vae Torch ⭐ 24

Variational autoencoder for anomaly detection (in PyTorch).

Posterior Collapse List ⭐ 17

A curated list of techniques to avoid posterior collapse

Simple Variational Autoencoder ⭐ 16

A VAE written entirely in Numpy/Cupy

Simplegan ⭐ 16

Tensorflow-based framework to ease training of generative models

Pytorch Mnist Vae ⭐ 14

Deep Feature Consistent Variational Autoencoder In Tensorflow ⭐ 13

implement Deep Feature Consisten Variational Autoencoder in Tensorflow

Overview Of Variational Autoencoder Based Generative Models ⭐ 11

This is an article about using variational autoencoders for the generation of new data. It contains the code for generating the plots and training the mentioned models on celeb_a.

Dpf Nets ⭐ 11

Flow-based generative model for 3D point clouds.

VAE + Quantile Networks for MNIST

Official PyTorch implementation of "PMAA: A Progressive Multi-scale Attention Autoencoder Model for High-Performance Cloud Removal from Multi-temporal Satellite Imagery" (ECAI 2023).

Generative Model For Video Compression ⭐ 9

This repository contains codes for trying out video compression with generative model.

Vae Pytorch ⭐ 7

Implementation of Variational Autoencoder in Pytorch

Variational Autoencoder ⭐ 7

Tensorflow implementation of Variational Auto-Encoder

Awesome Autoencoders For Representation Learning ⭐ 6

A curated list on the literature of autoencoders for representation learning.

Autoencoder Implementations ⭐ 6

This repository contains various Autoencoders implemented using TensorFlow

Amld2020 Workshop ⭐ 6

This repo contains workshop material for Applied Machine Learning Days 2020 conference

Nsynth Pytorch ⭐ 6

A reimplementation of NSynth in PyTorch.

This is a simple implementation of Conditional Variational Autoencoder ( CVAE ) using Chainer.

Pytorch Mnist Cvae ⭐ 5

Gmmn Pytorch ⭐ 5

Implementation of Generative Moment Matching Networks in pytorch

2019w_deeplearning_seminar ⭐ 5

2019.1~2 deep learning seminar

Keras Mnist Vae ⭐ 5

Keras Mnist Cvae ⭐ 5

Demo Cvae ⭐ 5

An interactive demonstration of using a deep conditional variational autoencoder to generate synthetic MNIST style handwriting digit

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