Alternatives and similar repositories for timegan-pytorch

Users that are interested in timegan-pytorch are comparing it to the libraries listed below

• Luoyonghong / E2EGAN
  ☆85Updated 6 years ago
• haohy / TCAN
  A PyTorch implementation of the TCAN model in "Temporal Convolutional Attention-based Network For Sequence Modeling".
  ☆142Updated 2 years ago
• birdx0810 / timegan-pytorch
  This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.
  ☆85Updated 3 years ago
• flrngel / TCN-with-attention
  Character based Temporal Convolutional Networks + Attention Layer
  ☆171Updated 7 years ago
• hihihihiwsf / AST
  Adversarial Sparse Transformer for Time Series Forecasting
  ☆140Updated 4 years ago
• bighuang624 / DSANet
  Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".
  ☆262Updated last year
• Luoyonghong / Multivariate-Time-Series-Imputation-with-Generative-Adversarial-Networks
  NIPS2018 paper
  ☆193Updated 6 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
• oneday88 / deepTCN
  ☆158Updated 4 years ago
• 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
• chensvm / A-Dual-Stage-Attention-Based-Recurrent-Neural-Network-for-Time-Series-Prediction
  ☆117Updated 7 years ago
• sunfanyunn / DARNN
  A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
  ☆113Updated last year
• ningshixian / LSTM_Attention
  attention-based LSTM/Dense implemented by Keras
  ☆300Updated 7 years ago
• proceduralia / pytorch-GAN-timeseries
  GANs for time series generation in pytorch
  ☆274Updated 6 years ago
• akyadav26 / Time-Series-Forecast-with-Deep-Hybrid-Architecture
  Multivariate time-series forecasting with LSTNET and soft-DTW loss
  ☆31Updated 5 years ago
• tungk / OED
  Outlier Detection for Time Series with Recurrent Autoencoder Ensembles
  ☆75Updated 6 years ago
• SchindlerLiang / VAE-for-Anomaly-Detection
  MLP_VAE, Anomaly Detection, LSTM_VAE, Multivariate Time-Series Anomaly Detection, IndRNN_VAE, Tensorflow
  ☆122Updated 6 years ago
• zjuwuyy-DL / Generative-Semi-supervised-Learning-for-Multivariate-Time-Series-Imputation
  ☆32Updated 4 years ago
• amitesh863 / nbeats_forecast
  N-Beats library implementation
  ☆89Updated 4 years ago
• zhangsunny / GAN-for-Time-Series-in-Pytorch
  使用GAN对时间序列进行建模
  ☆49Updated 6 years ago
• Maple728 / MTNet
  Tensorflow implementation of paper http://arxiv.org/abs/1809.02105
  ☆67Updated 6 years ago
• Vsooong / multivariate-prediction
  time-series-predictoin(LSTNet,SAB,Transformer...)
  ☆143Updated 7 years ago
• Han-JD / GRU-D
  inspired by 'Recurrent Neural Networks for Multivariate Time Series with Missing Values' pytorch ver
  ☆118Updated 6 years ago
• cingtiye / A-Dual-Stage-Attention-Based-Recurrent-Neural-Network-for-Time-Series-Prediction
  ☆17Updated 6 years ago
• JacobWang95 / mWDN
  ☆53Updated 7 years ago
• NIPS-BRITS / BRITS
  ☆84Updated 3 years ago
• LiDan456 / GAN-AD
  We used generative adversarial networks (GANs) to do anomaly detection for time series data.
  ☆149Updated 6 years ago
• LeronQ / DA-RNN
  ☆42Updated 5 years ago
• huipingcao / nmsu_yhao_ijcai2020
  This is the GitHub repository for our publication "A new attention mechanism to classify multivariate time series", by Yifan Hao and Huip…
  ☆29Updated 4 months ago
• Sanyam-Mehta / TPA-LSTM-PyTorch
  This is the PyTorch implementation of TPA-LSTM
  ☆60Updated 6 years ago