Alternatives and similar repositories for Time-series-Classification

Users that are interested in Time-series-Classification 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
• murali1996 / time_series_classification_prediction
  Different deep learning architectures are implemented for time series classification and prediction purposes.
  ☆20Updated 5 years ago
• jeanjerome / semisupervised_timeseries_infogan
  A tensorflow implementation of informative generative adversarial network (InfoGAN ) to one dimensional ( 1D ) time series data with a su…
  ☆29Updated 6 years ago
• hfawaz / ijcnn19ensemble
  Deep Neural Network Ensembles for Time Series Classification
  ☆111Updated last year
• SonbolYb / multivariate_timeseries_dilated_conv
  Multivariate Time Series Classification using Dilated Convolutional Neural Network
  ☆11Updated 5 years ago
• NellyElsayed / GRU-FCN-model-for-univariate-time-series-classification
  GRU-FCN model for univariate time series classification
  ☆26Updated 5 years ago
• zhaoyizhaoyi / icdm_wavelet_attention
  combine wavelet transform and attention mechanism for time series forecasting or classification
  ☆29Updated 6 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
• kiss90 / time-series-classification
  Short and long time series classification using convolutional neural networks
  ☆39Updated 9 years ago
• SoufianeDataFan / You-snooze-You-win
  Deep learning on multi-channel time series classification (medical data)
  ☆12Updated 4 years ago
• KurochkinAlexey / Hierarchical-Attention-Based-Recurrent-Highway-Networks-for-Time-Series-Prediction
  Pytorch implementation of Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction https://arxiv.org/abs/1806.0…
  ☆64Updated 5 years ago
• xadrianzetx / temporal-conv-net-keras
  TCN architecture for time series
  ☆24Updated 6 years ago
• cauchyturing / Imaging-time-series-to-improve-classification-and-imputation
  Python 3.6+ (only)
  ☆113Updated 6 years ago
• lixixibj / forecasting-with-time-series-imaging
  time series forecasting with image
  ☆46Updated last year
• chychen / tf2-ganomaly
  Tensorflow2 implementation of the paper GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
  ☆21Updated 4 years ago
• bhpfelix / PyTorch-Time-Series-Classification-Benchmarks
  Time Series Classification Benchmark with LSTM, VGG, ResNet
  ☆59Updated 7 years ago
• maxsxu / MTSAnomalyDetection
  Multidimensional Time Series Anomaly Detection
  ☆27Updated 7 years ago
• LouisFoucard / MC_DCNN
  Multi channel deep convolutional neural network for time series classification
  ☆54Updated 8 years ago
• YitongCU / Duel-staged-Attention-for-NYC-Weather-prediction
  Dual Staged Attention Model for Time Series prediction
  ☆66Updated 7 years ago
• drewthayer / time-series-forecasting-CNN
  Using a convolutional neural net for time series forecasting
  ☆20Updated 6 years ago
• yakouyang / Multilevel_Wavelet_Decomposition_Network_Pytorch
  This project is the pytorch implementation version of Multilevel Wavelet Decomposition Network.
  ☆99Updated 6 years ago
• SophiaWJ / Transfer-learning
  Transfer Knowledge Learned from Multiple Domains for Time-series Data Prediction
  ☆11Updated 7 years ago
• LahiruJayasinghe / machine-failure-detection
  PCA and DBSCAN based anomaly and outlier detection method for time series data.
  ☆47Updated 6 years ago
• ashishpatel26 / tcn-keras-Examples
  This repository contains example of keras-tcn on easy way.
  ☆57Updated 4 years ago
• ivivan / SSIM_Seq2Seq
  SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data
  ☆39Updated 3 years ago
• zheng-yuwei / Stacked_Autoencoder
  用 MATLAB 实现深度学习网络中的 stacked auto-encoder：使用AE variant（de-noising / sparse / contractive AE）进行预训练，用BP算法进行微调
  ☆42Updated 8 years ago
• jonzia / Recurrent_Autoencoder
  Sequence-to-sequence autoencoder for unsupervised learning of nonlinear dynamics (Tensorflow).
  ☆29Updated 3 years ago
• abdullahf / lstm-kalman-hybrid-timeseries
  Hybrid Time Series using LSTM and Kalman Filtering
  ☆43Updated 2 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
• opringle / multivariate_time_series_forecasting
  A place to implement state of the art deep learning methods for temporal modelling using python and MXNet.
  ☆64Updated 5 years ago