Alternatives and similar repositories for MTR-TSF

Users that are interested in MTR-TSF are comparing it to the libraries listed below

• 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
• dominikalfke / TimeSeriesSSL
  A study of distance measures and learning methods for semi-supervised learning on time series data
  ☆17Updated 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 6 years ago
• sclincha / xrce_msda_da_regularization
  Regularized marginalized Stacked Denoising Autoencoders for Domain Adaptation
  ☆12Updated 8 years ago
• Han-JD / GRU-D
  inspired by 'Recurrent Neural Networks for Multivariate Time Series with Missing Values' pytorch ver
  ☆118Updated 6 years ago
• huckiyang / Voice2Series-Reprogramming
  ICML 21 - Voice2Series: Adversarial Reprogramming Acoustic Models for Time Series Classification
  ☆73Updated last year
• googleinterns / local_global_ts_representation
  ☆22Updated 3 years ago
• ratschlab / dpsom
  Code associated with ACM-CHIL 21 paper 'T-DPSOM - An Interpretable Clustering Method for Unsupervised Learning of Patient Health States'
  ☆70Updated 4 years ago
• DavideNardone / MTSS-Multivariate-Time-Series-Software
  A GP-GPU/CPU Dynamic Time Warping (DTW) implementation for the analysis of Multivariate Time Series (MTS).
  ☆46Updated 5 years ago
• steveli / partial-encoder-decoder
  An encoder-decoder framework for learning from incomplete data
  ☆45Updated 2 years ago
• uchihashikenshi / attention_time
  Python implementation of a time-series model with (optional) attention where the encoder is CNN, decoder is LSTM, and more.
  ☆22Updated 9 years ago
• graykode / DAC
  Deep Adaptive Image Clustering Paper Implementation
  ☆31Updated 6 years ago
• hk-mp5a3 / Class-Imbalance
  Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).
  ☆39Updated last month
• houshd / LSTM-FCN
  Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
  ☆141Updated 6 years ago
• sunfanyunn / DARNN
  A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
  ☆112Updated last year
• hfawaz / ijcnn19ensemble
  Deep Neural Network Ensembles for Time Series Classification
  ☆111Updated 2 years ago
• IBM / RandomWarpingSeries
  RandomWarpingSeries (RWS) is a simple code for generating the vector representation of time-series for time-series classification, cluste…
  ☆21Updated 6 years ago
• atreyasha / mv-temporal-rgan
  Multivariate recurrent GANs aimed at generating biomedical time-series. Methodology involves drawing symmetries to adversarial image gene…
  ☆24Updated 4 months ago
• donalee / DTW-Pool
  Implementation of dynamic temporal pooling (DTP) for time series classification
  ☆38Updated 3 years ago
• weilai0980 / IMV-LSTM
  Multi-variable LSTM recurrent neural networks for prediction and interpretation of multi-variable time series
  ☆48Updated 4 years ago
• raghavchalapathy / rcae
  contains the code for models in the paper Robust, Deep and Inductive Anomaly Detection
  ☆35Updated 8 years ago
• upup123 / AAAI-2019-AFS
  The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".
  ☆47Updated 6 years ago
• Wensi-Tang / OS-CNN
  ☆141Updated 3 months ago
• AntoineAugusti / bagging-boosting-random-forests
  Bagging, boosting and random forests in Matlab
  ☆25Updated 10 years ago
• qianlima-lab / TSN
  The paper "Triple-shapelet Networks for Time Series Classification"
  ☆15Updated 5 years ago
• bhpfelix / PyTorch-Time-Series-Classification-Benchmarks
  Time Series Classification Benchmark with LSTM, VGG, ResNet
  ☆60Updated 7 years ago
• freedombenLiu / RNN-Time-series-Anomaly-Detection
  ☆20Updated 6 years ago
• BorealisAI / ssl-for-timeseries
  Self Supervised Learning for Time Series Using Similarity Distillation
  ☆12Updated 3 years ago
• ywatanabe1989 / custom_losses_pytorch
  Custom loss functions to use in (mainly) PyTorch.
  ☆39Updated 5 years ago
• geoslegend / Deep-Learning-for-Spatio-temporal-Prediction
  ☆58Updated 6 years ago