Alternatives and similar repositories for TICC

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

• fpetitjean / DBA
  DBA: Averaging for Dynamic Time Warping
  ☆197Updated 4 years ago
• mohaseeb / shaplets-python
  Python implementation of the Learning Time-Series Shapelets method, that learns a shapelet-based time-series classifier with gradient des…
  ☆222Updated 5 years ago
• RobRomijnders / AE_ts
  Auto encoder for time series
  ☆439Updated 5 years ago
• cauchyturing / UCR_Time_Series_Classification_Deep_Learning_Baseline
  Fully Convlutional Neural Networks for state-of-the-art time series classification
  ☆707Updated 6 years ago
• seninp / saxpy
  Symbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python
  ☆213Updated this week
• hfawaz / bigdata18
  Transfer learning for time series classification
  ☆380Updated 6 years ago
• cvxgrp / GGS
  Greedy Gaussian Segmentation
  ☆99Updated 2 years ago
• markdregan / K-Nearest-Neighbors-with-Dynamic-Time-Warping
  Python implementation of KNN and DTW classification algorithm
  ☆786Updated 6 years ago
• tejaslodaya / timeseries-clustering-vae
  Variational Recurrent Autoencoder for timeseries clustering in pytorch
  ☆486Updated 2 years ago
• patrickzib / SFA
  Scalable Time Series Data Analytics
  ☆318Updated 3 months ago
• alexminnaar / time-series-classification-and-clustering
  Time series classification and clustering code written in Python.
  ☆798Updated 4 years ago
• TimyadNyda / Variational-Lstm-Autoencoder
  Lstm variational auto-encoder for time series anomaly detection and features extraction
  ☆330Updated 5 years ago
• hfawaz / aaltd18
  Data augmentation using synthetic data for time series classification with deep residual networks
  ☆183Updated 6 years ago
• FlorentF9 / DeepTemporalClustering
  Keras implementation of the Deep Temporal Clustering (DTC) model
  ☆231Updated 3 years ago
• White-Link / UnsupervisedScalableRepresentationLearningTimeSeries
  Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments
  ☆403Updated last year
• titu1994 / MLSTM-FCN
  Multivariate LSTM Fully Convolutional Networks for Time Series Classification
  ☆512Updated 5 years ago
• dmbee / seglearn
  Python module for machine learning time series:
  ☆575Updated 3 years ago
• akash13singh / lstm_anomaly_thesis
  Anomaly detection for temporal data using LSTMs
  ☆225Updated 3 years ago
• hildensia / bayesian_changepoint_detection
  Methods to get the probability of a changepoint in a time series.
  ☆727Updated 2 years ago
• LukeTonin / keras-seq-2-seq-signal-prediction
  An implementation of a sequence to sequence neural network using an encoder-decoder
  ☆210Updated 6 years ago
• TheDatumOrg / kshape-python
  Python implementation of k-Shape
  ☆347Updated last year
• LeeDoYup / RobustSTL
  Unofficial Implementation of RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series (AAAI 2019)
  ☆301Updated 5 years ago
• saeeeeru / dtc-tensorflow
  Implementation of Deep Temporal Clustering.
  ☆74Updated 2 years ago
• houshd / MLSTM-FCN
  Multivariate LSTM Fully Convolutional Networks for Time Series Classification
  ☆103Updated 6 years ago
• Luoyonghong / Multivariate-Time-Series-Imputation-with-Generative-Adversarial-Networks
  NIPS2018 paper
  ☆192Updated 6 years ago
• rofuyu / exp-trmf-nips16
  Experimental Codes for Temporal Regularized Matrix Factoriztion for High-dimensional Time Series Prediction.
  ☆79Updated 6 years ago
• kristpapadopoulos / seriesnet
  Time series prediction using dilated causal convolutional neural nets (temporal CNN)
  ☆238Updated 3 years ago
• jrmontag / STLDecompose
  A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.
  ☆187Updated 6 years ago
• Seanny123 / da-rnn
  Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction
  ☆339Updated 4 years ago
• houshd / LSTM-FCN
  Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
  ☆141Updated 6 years ago