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
  ☆274Updated 6 years ago
• zwzhang123 / TimeGAN-pytorch
  Pytorch implementation of the paper "Time-series Generative Adversarial Networks".
  ☆107Updated 2 years ago
• Atrin78 / Attention-based-Time-Series-Generation
  A transformer guided GAN to generate synthetic time-series data.
  ☆33Updated 4 years ago
• Yashkataria / CGAN-for-time-series
  ☆44Updated 4 years ago
• lpphd / multivariate-attention-tcn
  ☆99Updated 2 years ago
• JustusvLiebig / Soft_Sensor_Experiments
  ☆95Updated 3 years ago
• abudesai / timeVAE
  TimeVAE implementation in keras/tensorflow
  ☆167Updated 9 months ago
• AlanDongMu / TimeGAN_PytorchRebuild
  Use pytorch to rebulid TimeGAN.
  ☆22Updated last year
• Luoyonghong / Multivariate-Time-Series-Imputation-with-Generative-Adversarial-Networks
  NIPS2018 paper
  ☆193Updated 6 years ago
• FateMurphy / CEEMDAN_LSTM
  CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.
  ☆289Updated 10 months ago
• yeguo419 / DAE_impute
  Time series missing data imputation with Temporal Convolutional Denoising Autoencoder
  ☆18Updated last year
• hihihihiwsf / AST
  Adversarial Sparse Transformer for Time Series Forecasting
  ☆140Updated 4 years ago
• SigCGANs / Conditional-Sig-Wasserstein-GANs
  ☆135Updated last year
• tommyngx / Multi_TimeGAN
  Multivariate Time Series Imputation with Generative Adversarial Networks
  ☆11Updated 5 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
• birdx0810 / timegan-pytorch
  This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.
  ☆85Updated 3 years ago
• mehak25 / BiGAN
  ☆13Updated 4 years ago
• imics-lab / tts-gan
  TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network
  ☆281Updated last year
• gioramponi / GAN_Time_Series
  A model to generate time series data with the purpose of augmenting a dataset of various time series.
  ☆63Updated 6 years ago
• jsyoon0823 / Time-series-prediction
  Basic RNN, LSTM, GRU, and Attention for time-series prediction
  ☆184Updated last year
• JulesBelveze / time-series-autoencoder
  PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series
  ☆711Updated 2 months ago
• kxytim / DLVM_for_process_monitoring
  Source code of the paper "Deep Learning of Latent Variable Models for Industrial Process Monitoring".
  ☆10Updated 4 years ago
• flaviagiammarino / deep-tcn-tensorflow
  TensorFlow implementation of DeepTCN model for probabilistic time series forecasting with temporal convolutional networks.
  ☆40Updated last year
• imics-lab / tts-cgan
  TTS-CGAN: A Transformer Time-Series Conditional GAN for Biosignal Data Augmentation
  ☆82Updated 3 years ago
• abudesai / syntheticdatagen
  synthetic data generation of time-series data
  ☆27Updated 3 years ago
• archity / synthetic-data-gan
  Experimenting with generating synthetic data using ydata-synthetic
  ☆37Updated 4 years ago
• MarkusThill / bioma-tcn-ae
  Minimal Working Example of a (baseline) Temporal Convolutional Autoencoder (TCN-AE) for Anomaly Detection in Time Series
  ☆55Updated 4 years ago
• Luoyonghong / E2EGAN
  ☆85Updated 6 years ago
• jinmang2 / LSTM-SAE
  Pytorch Implementation of LSTM-SAE(Long Short Term Memory - Stacked AutoEncoder)
  ☆26Updated last year
• ashrafalaghbari / GA-TCN-LSTM
  An Ensemble DL Model Tuned with Genetic Algorithm for Oil Production Forecasting.
  ☆76Updated 2 years ago