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Ladder Latent Data Distribution Modelling ⭐ 31

In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represent the inferred \textbf{latent data distribution}, i.e. its topology and structural properties. We propose LaDDer to achieve accurate modelling of the latent data distribution in a variational autoencoder framework and to facilitate better representation learning. The central idea of LaDDer is a meta-embedding concept, which uses multiple VAE models to learn an

Cifarvae ⭐ 30

Variational Auto Encoder

Vae Style Transfer ⭐ 30

An experiment in VAE-based artistic style transfer by embedding fiddling.

[Preprint] AdaVAE: Exploring Adaptive GPT-2s in VAEs for Language Modeling PyTorch Implementation

Code for the paper "Bilateral Variational Autoencoder for Collaborative Filtering", WSDM'21

Keras implementation of the paper "Autoencoding beyond pixels using a learned similarity metric"

Implemention of "CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training"

Vae Anomaly Detector ⭐ 29

Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.

Chainer Vae ⭐ 28

DEPRECATED!!! the same as official VAE example, but using Trainer in this repo

Variational Autodecoder ⭐ 28

A Generic Implementation of Variational Auto-Decoder (https://arxiv.org/pdf/1903.00840.pdf)

Generative_models ⭐ 27

Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE

Vae Pytorch ⭐ 27

Variational auto encoder in pytorch

Gumbel Softmax Vae In Tensorflow ⭐ 26

Semi-Supervised Learning with Categorical VAE (experimented on MNIST)

Zero Shot Counting ⭐ 26

CVPR2023 Zero-shot Counting

☘️ Code for Convex Aggregation for Opinion Summarization (Iso et al; Findings of EMNLP 2021)

Vq Vae Audio ⭐ 25

Implementation of VQ-VAE for audio

Vae_for_text ⭐ 25

Tensorflow implementation of Generating Sentences from a Continuous Space

Ea Vq Vae ⭐ 25

This repo provides the code for the ACL 2020 paper "Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder"

Vaenar Tts ⭐ 25

PyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.

Importance_weighted_autoencoders ⭐ 24

A PyTorch Implementation of the Importance Weighted Autoencoders

Vae_renyi_divergence ⭐ 24

A tensorflow implementation of VAE training with Renyi divergence

Variational Autoencoder with Spatial Broadcast Decoder

Msved Morph Reinflection ⭐ 24

An implementation of semi-supervised VAE for morphology reinflection.

genotype dimensionality reduction with a VAE

Tensorflow_deep_learning_models ⭐ 23

TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)

Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]

Tf Examples ⭐ 23

TensorFlow examples

Pytorch Vae ⭐ 23

PyTorch implementation of "Auto-Encoding Variational Bayes", arxiv:1312.6114

Tensorflow Vae ⭐ 23

TF Implementation of Convolutional Variational Autoencoder.

Extended_vqvae ⭐ 23

SAGA: Stochastic Whole-Body Grasping with Contact

Denoising Variational Autoencoder

Vq Vae_keras_implementation ⭐ 22

Keras Implementation of Vector Quantizer Variational AutoEncoder (VQ-VAE)

An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar et al. (Published at ICLR 2018) https://arxiv.org/abs/1711.00848

NP DRAW paper released code

Candy: Self-driving Agent in Carla.

TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155

Gmvae_tacotron ⭐ 21

Gaussian Mixture VAE Tacotron

Code for "oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis"

Learning Disentangled Representations Under Supervision ⭐ 21

Controllable Text Generation using variational auto-encoder (VAE) and text CNN

Pytorch Mnist Vae ⭐ 21

Pytorch Implementation of variational auto-encoder for MNIST

LR, FM, DeepFM, xDeepFM, DIN, CF等推荐算法。采用TFRecords作为输入，方便实际场景应用。

手撕机器学习

Lr Livae ⭐ 20

Tensorflow implementation of Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions (CVPR 2019)

3-D Inorganic Crystal Structure Generation and Property Prediction via Representation Learning (JCIM 2020)

VAE models for experiments and education usage.

Lstm Vae Torch ⭐ 20

A Simple Pytorch Implementation of LSTM-based Variational Autoencoder(VAE)

Tensormonk ⭐ 20

A collection of deep learning models (PyTorch implemtation)

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218

Spatial Vae ⭐ 20

Source code for "Explicitly disentangling image content from translation and rotation with spatial-VAE" - NeurIPS 2019

Official PyTorch implementation of "RVAE-EM: Generative speech dereverberation based on recurrent variational auto-encoder and convolutive transfer function" [ICASSP2024]

Music Fader Nets ⭐ 19

Code accompanying ISMIR 2020 paper - "Music FaderNets: Controllable Music Generation Based On High-Level Features via Low-Level Feature Modelling".

Probabilistic_nlg ⭐ 18

Tensorflow Implementation of Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation (NAACL 2019).

Python2ai ⭐ 18

从零开始学习人工智能

Disentangling Robustness Generalization ⭐ 18

CVPR'19 experiments with (on-manifold) adversarial examples.

Vae Gan Pytorch ⭐ 18

Generation of 128x128 bird images using VAE-GAN with additional feature matching loss

Mnist Vae ⭐ 18

Semi-supervised learning with mnist using variational autoencoders. An unsupervised representation is learned which allows for superior classification results with limited labels.

A TensorFlow implementation of perceptual generative autoencoder (PGA).

Pytorch Vae ⭐ 18

A minimal pytorch implementation of VAE, IWAE, MIWAE

Generator loss to reduce mode-collapse and to improve the generated samples quality.

Classifying Vae Lstm ⭐ 18

music generation with a classifying variational autoencoder (VAE) and LSTM

Efficientmorl ⭐ 18

EfficientMORL (ICML'21)

Simple Implementation Of Ml Algorithms ⭐ 17

My simplest implementations of common ML algorithms

Face_vae ⭐ 17

A VAE for CelebA

ERISHA is a mulitilingual multispeaker expressive speech synthesis framework. It can transfer the expressivity to the speaker's voice for which no expressive speech corpus is available.

Long Tail Gan ⭐ 17

Adversarial learning framework to enhance long-tail recommendation in Neural Collaborative Filtering

Visually Explainable VAE

A repository providing implementations of generative models in various frameworks.

Next Generation Deep Learning Models

Episodic_control ⭐ 16

Model-Free Episodic Control

Sdmnet_stamp ⭐ 16

Rich_latent ⭐ 16

rich posterior approximations and anomaly detection

Stable Diffusion Chinese Extend ⭐ 16

A fine tune version of Stable Diffusion model on self-translate 10k diffusiondb Chinese Corpus and "extend" it

try out bearing fault diagnosis with semi-supervised vae

Simple Variational Autoencoder ⭐ 16

A VAE written entirely in Numpy/Cupy

Graph Vae ⭐ 15

Vae Tensorflow ⭐ 15

Variational Autoencoder Tensorflow Implementation

Minimal_vae_on_mario ⭐ 15

A minimal VAE trained on Super Mario Bros levels.

Beta Vae ⭐ 15

A Pytorch Implementation of the Beta-VAE

Vq Vae_withpixelcnnprior ⭐ 15

Implementation of Vector Quantised VAE (VQ-VAE) with PixelCNN prior in Tensorflow.

Generative Model For Image Generation ⭐ 14

Repository contains code for artificial image generation using generative models, namely, Variational Autoencoders (VAE) and Generative Adversarial Networks (GAN).

Stable Diffusion Pokemon ⭐ 14

A demo of fine tune Stable Diffusion on Pokemon-Blip-Captions in English, Japanese and Chinese Corpus

Generative_model_speech ⭐ 14

Phone generation model/VAE/GAN/VAE+GAN

Chainer Disentanglement Lib ⭐ 14

Unsupervised Disentanglement Representation Learning in Chainer

Variational Zoo ⭐ 14

Variational inference and disentangled representations through unsupervised learning

Likelihood Regret ⭐ 14

Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020

World Models ⭐ 14

A Tensorflow 2.0 reimplementation of World Models - David Ha, Jürgen Schmidhuber (2018)

Basisvae ⭐ 14

PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders

Split Vae ⭐ 14

Original implementation of Separated Paths for Local and Global Information framework (SPLIT) in TensorFlow 2.

Hyperbolic_wrapped_distribution ⭐ 13

Stretchbev ⭐ 13

Official implementation of our ECCV paper "StretchBEV: Stretching Future Instance Prediction Spatially and Temporally"

Nmpevqvae ⭐ 13

Neuromorphologicaly Preserving Volumetric Data Encoding Using VQ-VAE

Deep Feature Consistent Variational Autoencoder In Tensorflow ⭐ 13

implement Deep Feature Consisten Variational Autoencoder in Tensorflow

Molecular Structure Generation

Infomaxvae ⭐ 13

InfoMax-VAE pytorch implementation

Exemplar Vae ⭐ 13

Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation

Style Vae ⭐ 13

Implementation of VAE and Style-GAN Architecture Achieving State of the Art Reconstruction

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