Alternatives and similar repositories for AE_ts

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

• RobRomijnders / LSTM_tsc
  An LSTM for time-series classification
  ☆411Updated 7 years ago
• kristpapadopoulos / seriesnet
  Time series prediction using dilated causal convolutional neural nets (temporal CNN)
  ☆237Updated 3 years ago
• TimyadNyda / Variational-Lstm-Autoencoder
  Lstm variational auto-encoder for time series anomaly detection and features extraction
  ☆325Updated 5 years ago
• twairball / keras_lstm_vae
  Keras implementation of LSTM Variational Autoencoder
  ☆227Updated 5 years ago
• RobRomijnders / CNN_tsc
  A CNN for time-series classification
  ☆155Updated 8 years ago
• hfawaz / bigdata18
  Transfer learning for time series classification
  ☆380Updated 6 years ago
• buriburisuri / timeseries_gan
  A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.
  ☆297Updated last year
• tejaslodaya / timeseries-clustering-vae
  Variational Recurrent Autoencoder for timeseries clustering in pytorch
  ☆485Updated last year
• dmbee / seglearn
  Python module for machine learning time series:
  ☆576Updated 2 years ago
• aaxwaz / Multivariate-Time-Series-forecast-using-seq2seq-in-TensorFlow
  ☆151Updated 7 years ago
• cauchyturing / UCR_Time_Series_Classification_Deep_Learning_Baseline
  Fully Convlutional Neural Networks for state-of-the-art time series classification
  ☆703Updated 5 years ago
• houshd / LSTM-FCN
  Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
  ☆141Updated 6 years ago
• ratschlab / SOM-VAE
  TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199
  ☆196Updated 2 years ago
• LukeTonin / keras-seq-2-seq-signal-prediction
  An implementation of a sequence to sequence neural network using an encoder-decoder
  ☆209Updated 5 years ago
• JEddy92 / TimeSeries_Seq2Seq
  This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series for…
  ☆607Updated 5 years ago
• Seanny123 / da-rnn
  Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction
  ☆337Updated 4 years ago
• FrancisArgnR / Time-series---deep-learning---state-of-the-art
  Scientific time series and deep learning state of the art
  ☆281Updated 4 years ago
• titu1994 / MLSTM-FCN
  Multivariate LSTM Fully Convolutional Networks for Time Series Classification
  ☆509Updated 4 years ago
• jonzia / Recurrent_Autoencoder
  Sequence-to-sequence autoencoder for unsupervised learning of nonlinear dynamics (Tensorflow).
  ☆30Updated 3 years ago
• hfawaz / aaltd18
  Data augmentation using synthetic data for time series classification with deep residual networks
  ☆185Updated 6 years ago
• mbinkowski / nntimeseries
  ☆209Updated 6 years ago
• akash13singh / lstm_anomaly_thesis
  Anomaly detection for temporal data using LSTMs
  ☆225Updated 3 years ago
• iwyoo / LSTM-autoencoder
  TensorFlow LSTM-autoencoder implementation
  ☆191Updated 7 years ago
• White-Link / UnsupervisedScalableRepresentationLearningTimeSeries
  Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments
  ☆400Updated 10 months ago
• ratschlab / RGAN
  Recurrent (conditional) generative adversarial networks for generating real-valued time series data.
  ☆650Updated 6 years ago
• cauchyturing / Imaging-time-series-to-improve-classification-and-imputation
  Python 3.6+ (only)
  ☆113Updated 6 years ago
• msmbuilder / vde
  Variational Autoencoder for Dimensionality Reduction of Time-Series
  ☆188Updated 3 years ago
• chen0040 / keras-anomaly-detection
  Anomaly detection implemented in Keras
  ☆376Updated 7 years ago
• hfawaz / ijcnn19ensemble
  Deep Neural Network Ensembles for Time Series Classification
  ☆111Updated last year
• davidhallac / TICC
  ☆461Updated 5 years ago