Alternatives and similar repositories for TICC:

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

• dmbee / seglearn
  Python module for machine learning time series:
  ☆574Updated 2 years ago
• cauchyturing / UCR_Time_Series_Classification_Deep_Learning_Baseline
  Fully Convlutional Neural Networks for state-of-the-art time series classification
  ☆684Updated 5 years ago
• seninp / saxpy
  Symbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python
  ☆210Updated last year
• mohaseeb / shaplets-python
  Python implementation of the Learning Time-Series Shapelets method, that learns a shapelet-based time-series classifier with gradient des…
  ☆221Updated 5 years ago
• tejaslodaya / timeseries-clustering-vae
  Variational Recurrent Autoencoder for timeseries clustering in pytorch
  ☆473Updated last year
• johannfaouzi / pyts
  A Python package for time series classification
  ☆1,800Updated last year
• angus924 / rocket
  ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
  ☆429Updated 2 years ago
• titu1994 / MLSTM-FCN
  Multivariate LSTM Fully Convolutional Networks for Time Series Classification
  ☆498Updated 4 years ago
• TheDatumOrg / kshape-python
  Python implementation of k-Shape
  ☆337Updated last year
• TimyadNyda / Variational-Lstm-Autoencoder
  Lstm variational auto-encoder for time series anomaly detection and features extraction
  ☆318Updated 4 years ago
• cvxgrp / GGS
  Greedy Gaussian Segmentation
  ☆98Updated 2 years ago
• benfulcher / hctsa
  Highly comparative time-series analysis
  ☆756Updated this week
• hildensia / bayesian_changepoint_detection
  Methods to get the probability of a changepoint in a time series.
  ☆701Updated last year
• sktime / sktime-dl
  DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
  ☆597Updated 6 months ago
• alexminnaar / time-series-classification-and-clustering
  Time series classification and clustering code written in Python.
  ☆790Updated 4 years ago
• patrickzib / SFA
  Scalable Time Series Data Analytics
  ☆312Updated 2 years ago
• White-Link / UnsupervisedScalableRepresentationLearningTimeSeries
  Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments
  ☆396Updated 6 months ago
• M-Nauta / TCDF
  Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
  ☆490Updated 3 years ago
• hfawaz / bigdata18
  Transfer learning for time series classification
  ☆378Updated 5 years ago
• hfawaz / InceptionTime
  InceptionTime: Finding AlexNet for Time Series Classification
  ☆656Updated last year
• hfawaz / aaltd18
  Data augmentation using synthetic data for time series classification with deep residual networks
  ☆184Updated 6 years ago
• shunyaoshih / TPA-LSTM
  Temporal Pattern Attention for Multivariate Time Series Forecasting
  ☆710Updated 6 years ago
• RobRomijnders / AE_ts
  Auto encoder for time series
  ☆437Updated 5 years ago
• jingw2 / demand_forecast
  ☆459Updated last year
• KDD-OpenSource / DeepADoTS
  Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
  ☆578Updated 2 years ago
• bighuang624 / DSANet
  Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".
  ☆261Updated 8 months ago
• akash13singh / lstm_anomaly_thesis
  Anomaly detection for temporal data using LSTMs
  ☆223Updated 3 years ago
• jrmontag / STLDecompose
  A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.
  ☆184Updated 5 years ago
• LeeDoYup / RobustSTL
  Unofficial Implementation of RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series (AAAI 2019)
  ☆291Updated 4 years ago
• markdregan / K-Nearest-Neighbors-with-Dynamic-Time-Warping
  Python implementation of KNN and DTW classification algorithm
  ☆780Updated 6 years ago