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
  ☆276Updated 5 years ago
• zzw-zwzhang / TimeGAN-pytorch
  Pytorch implementation of the paper "Time-series Generative Adversarial Networks".
  ☆98Updated 2 years ago
• Atrin78 / Attention-based-Time-Series-Generation
  A transformer guided GAN to generate synthetic time-series data.
  ☆33Updated 3 years ago
• lpphd / multivariate-attention-tcn
  ☆97Updated 2 years ago
• zhangjy113 / DAE_impute
  Time series missing data imputation with Temporal Convolutional Denoising Autoencoder
  ☆18Updated 11 months ago
• mehak25 / BiGAN
  ☆13Updated 3 years ago
• Yashkataria / CGAN-for-time-series
  ☆45Updated 4 years ago
• abudesai / timeVAE
  TimeVAE implementation in keras/tensorflow
  ☆155Updated 3 months ago
• FateMurphy / CEEMDAN_LSTM
  CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.
  ☆266Updated 4 months ago
• JustusvLiebig / Soft_Sensor_Experiments
  ☆89Updated 3 years ago
• AlanDongMu / TimeGAN_PytorchRebuild
  Use pytorch to rebulid TimeGAN.
  ☆20Updated last year
• hihihihiwsf / AST
  Adversarial Sparse Transformer for Time Series Forecasting
  ☆140Updated 3 years ago
• flaviagiammarino / deep-tcn-tensorflow
  TensorFlow implementation of DeepTCN model for probabilistic time series forecasting with temporal convolutional networks.
  ☆40Updated last year
• 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.
  ☆173Updated 2 years ago
• SigCGANs / Conditional-Sig-Wasserstein-GANs
  ☆134Updated last year
• Luoyonghong / Multivariate-Time-Series-Imputation-with-Generative-Adversarial-Networks
  NIPS2018 paper
  ☆192Updated 6 years ago
• birdx0810 / timegan-pytorch
  This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.
  ☆83Updated 2 years ago
• drzhang3 / DeepTimeSeriesModel
  A paper list for Time series modelling, including prediciton and anomaly detection
  ☆93Updated 5 years ago
• quovadisss / TimeSeriesForecasting_AI_team1
  Seoultech AI Class Team Project
  ☆13Updated 4 years ago
• abudesai / syntheticdatagen
  synthetic data generation of time-series data
  ☆27Updated 3 years ago
• FateMurphy / CEEMDAN-VMD-GRU
  CEEMDAN-VMD-LSTM Forecasting model (a light version of CEEMDAN_LSTM)
  ☆96Updated 2 years ago
• louisyuzhe / deeplearning_forecast
  Application of deep learning model (Temporal Fusion Transformer) to forecast time-series data
  ☆33Updated 4 years ago
• MarkusThill / bioma-tcn-ae
  Minimal Working Example of a (baseline) Temporal Convolutional Autoencoder (TCN-AE) for Anomaly Detection in Time Series
  ☆49Updated 4 years ago
• Ray-0403 / superblack.github.io
  A novel time series forecasting model, called CEEMDAN-TCN.
  ☆11Updated 3 years ago
• kaelzhang / DA-RNN-in-Tensorflow-2-and-PyTorch
  A Tensorflow 2 (Keras) implementation of DA-RNN (A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction, arXiv:…
  ☆31Updated last year
• mitre7 / ngboost_pv_forecasting
  An interpretable probabilistic model for short-term solar power forecasting using natural gradient boosting
  ☆15Updated 3 years ago
• GivyBoy / CEEMDAN-and-LSTM-CNN-CBAM
  This repo holds the implementation the paper 'Forecasting gold price using a novel hybrid model with ICEEMDAN and LSTM-CNN-CBAM', by Yanh…
  ☆49Updated 3 years ago
• kaishxu / qrnn
  QRNN (Quantile Regression Neural Network) Keras version
  ☆24Updated 4 years ago
• zhangxu0307 / stack-autoencoder
  This is stack autoencoder (SAE) implemented by Pytorch
  ☆25Updated 7 years ago
• LiYouru0228 / EA-LSTM
  EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction
  ☆38Updated 6 years ago