Alternatives and similar repositories for VAE

Users that are interested in VAE are comparing it to the libraries listed below

• proceduralia / pytorch-GAN-timeseries
  GANs for time series generation in pytorch
  ☆273Updated 6 years ago
• zwzhang123 / TimeGAN-pytorch
  Pytorch implementation of the paper "Time-series Generative Adversarial Networks".
  ☆104Updated 2 years ago
• Atrin78 / Attention-based-Time-Series-Generation
  A transformer guided GAN to generate synthetic time-series data.
  ☆33Updated 3 years ago
• archity / synthetic-data-gan
  Experimenting with generating synthetic data using ydata-synthetic
  ☆37Updated 4 years ago
• Yashkataria / CGAN-for-time-series
  ☆44Updated 4 years ago
• abudesai / timeVAE
  TimeVAE implementation in keras/tensorflow
  ☆157Updated 7 months ago
• mehak25 / BiGAN
  ☆13Updated 4 years ago
• hihihihiwsf / AST
  Adversarial Sparse Transformer for Time Series Forecasting
  ☆139Updated 3 years ago
• MarkusThill / bioma-tcn-ae
  Minimal Working Example of a (baseline) Temporal Convolutional Autoencoder (TCN-AE) for Anomaly Detection in Time Series
  ☆50Updated 4 years ago
• birdx0810 / timegan-pytorch
  This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.
  ☆84Updated 3 years ago
• SigCGANs / Conditional-Sig-Wasserstein-GANs
  ☆134Updated last year
• AlanDongMu / TimeGAN_PytorchRebuild
  Use pytorch to rebulid TimeGAN.
  ☆21Updated last year
• JustusvLiebig / Soft_Sensor_Experiments
  ☆93Updated 3 years ago
• lpphd / multivariate-attention-tcn
  ☆98Updated 2 years ago
• IvanBongiorni / GAN-RNN_Timeseries-imputation
  Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.
  ☆174Updated 3 years ago
• SchindlerLiang / VAE-for-Anomaly-Detection
  MLP_VAE, Anomaly Detection, LSTM_VAE, Multivariate Time-Series Anomaly Detection, IndRNN_VAE, Tensorflow
  ☆124Updated 6 years ago
• Luoyonghong / Multivariate-Time-Series-Imputation-with-Generative-Adversarial-Networks
  NIPS2018 paper
  ☆194Updated 6 years ago
• yeguo419 / DAE_impute
  Time series missing data imputation with Temporal Convolutional Denoising Autoencoder
  ☆18Updated last year
• jsyoon0823 / TimeGAN
  Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019
  ☆1,008Updated 4 months ago
• StoicGilgamesh / LSTM-GAN-
  The LSTM GAN model can be used for generation of synthetic multi-dimension time series data.
  ☆38Updated 6 years ago
• 7fantasysz / MSCRED
  Multi-Scale Convolutional Recurrent Encoder-Decoder
  ☆147Updated 5 years ago
• abudesai / syntheticdatagen
  synthetic data generation of time-series data
  ☆27Updated 3 years ago
• Vsooong / multivariate-prediction
  time-series-predictoin(LSTNet,SAB,Transformer...)
  ☆143Updated 6 years ago
• LiDan456 / GAN-AD
  We used generative adversarial networks (GANs) to do anomaly detection for time series data.
  ☆150Updated 6 years ago
• TimyadNyda / Variational-Lstm-Autoencoder
  Lstm variational auto-encoder for time series anomaly detection and features extraction
  ☆335Updated 5 years ago
• imics-lab / tts-gan
  TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network
  ☆278Updated last year
• bighuang624 / DSANet
  Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".
  ☆261Updated last year
• PyLink88 / Recurrent-Autoencoder
  Recurrent Neural Networks based Autoencoder for Time Series Anomaly Detection
  ☆28Updated 4 years ago
• JulesBelveze / time-series-autoencoder
  PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series
  ☆704Updated this week
• FateMurphy / CEEMDAN_LSTM
  CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.
  ☆278Updated 8 months ago