Alternatives and similar repositories for neural_decomposition

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

• trokas / neural_decomposition
  Neaural Decomposition (ND)
  ☆20Updated 7 years ago
• bperezorozco / ordinal_tsf
  ☆29Updated 5 years ago
• dongkuanx27 / DeepTrends
  Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series (AAAI'20)
  ☆48Updated 3 years ago
• kirarenctaon / timenet
  ☆37Updated 6 years ago
• MSRDL / Deep4Cast
  Probabilistic Multivariate Time Series Forecast using Deep Learning
  ☆96Updated 6 years ago
• sunfanyunn / DARNN
  A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
  ☆112Updated last year
• abrvkh / WaveNet_simple
  A simple implementation of the WaveNet model for time series forecasting
  ☆26Updated 7 years ago
• zhiyongc / GRU-D
  Gated Recurrent Unit with a Decay mechanism for Multivariate Time Series with Missing Values
  ☆118Updated 6 years ago
• weilai0980 / IMV-LSTM
  Multi-variable LSTM recurrent neural networks for prediction and interpretation of multi-variable time series
  ☆48Updated 4 years ago
• rtavenar / keras_shapelets
  Efficient implementation of Learning Time-Series Shapelets using keras
  ☆25Updated 7 years ago
• KBascol / Unsupervised-Interpretable-Pattern-Discovery-in-Time-Series-Using-Autoencoders
  Code in python with tensorflow of the method described in the paper Unsupervised Interpretable Pattern Discovery in Time Series Using Aut…
  ☆21Updated 6 years ago
• spallas / time-attention
  Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
  ☆59Updated 2 years ago
• jsyoon0823 / MRNN
  Multi-directional Recurrent Neural Networks (MRNN) - IEEE TBME 2019
  ☆42Updated 5 years ago
• Han-JD / GRU-D
  inspired by 'Recurrent Neural Networks for Multivariate Time Series with Missing Values' pytorch ver
  ☆117Updated 6 years ago
• smallGum / MLCNN-Multivariate-Time-Series
  Codes for Multi-Level Construal Neural Network framework
  ☆48Updated 4 years ago
• dlegor / rad
  Implementation of Robust PCA and Robust Deep Autoencoder over Time Series
  ☆14Updated 5 years ago
• zalandoresearch / probrnn
  State space modeling with recurrent neural networks
  ☆45Updated 7 years ago
• sharford5 / SFA_Python
  ☆35Updated 3 years ago
• haoyfan / SelfTime
  (Under Review)
  ☆67Updated 4 years ago
• alan-turing-institute / rbocpdms
  Robust bayesian online changepoint detection with model selection
  ☆23Updated 6 years ago
• XAI-360 / TSCL
  Contrastive Learning for Time Series
  ☆40Updated 2 years ago
• OctoberChang / klcpd_code
  Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)
  ☆59Updated 2 years ago
• Zymrael / wattnet-fx-trading
  WATTNet: Learning to Trade FX with Hierarchical Spatio-Temporal Representations of Highly Multivariate Time Series
  ☆73Updated 4 years ago
• KurochkinAlexey / IMV_LSTM
  Pytorch implementation of "Exploring Interpretable LSTM Neural Networks over Multi-Variable Data" https://arxiv.org/pdf/1905.12034.pdf
  ☆109Updated 5 years ago
• saeeeeru / dtc-tensorflow
  Implementation of Deep Temporal Clustering.
  ☆74Updated 2 years ago
• steveli / partial-encoder-decoder
  An encoder-decoder framework for learning from incomplete data
  ☆44Updated 2 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 years ago
• fpetitjean / ProximityForest
  Scalable and accurate classifier for time series
  ☆31Updated 6 years ago
• titu1994 / LSTM-FCN-Ablation
  Repository for the ablation study of "Long Short-Term Memory Fully Convolutional Networks for Time Series Classification"
  ☆54Updated 6 years ago
• ratschlab / SOM-VAE
  TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199
  ☆197Updated 2 years ago