Alternatives and similar repositories for sktime-dl:

Users that are interested in sktime-dl are comparing it to the libraries listed below

• dmbee / seglearn
  Python module for machine learning time series:
  ☆574Updated 2 years ago
• johannfaouzi / pyts
  A Python package for time series classification
  ☆1,806Updated last year
• angus924 / rocket
  ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
  ☆434Updated 3 years ago
• matrix-profile-foundation / matrixprofile
  A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.
  ☆382Updated last year
• fraunhoferportugal / tsfel
  An intuitive library to extract features from time series.
  ☆997Updated 5 months ago
• antoinecarme / pyaf
  PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
  ☆460Updated last week
• hfawaz / InceptionTime
  InceptionTime: Finding AlexNet for Time Series Classification
  ☆658Updated last year
• AutoViML / Auto_TS
  Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ra…
  ☆752Updated 7 months ago
• philipperemy / n-beats
  Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
  ☆878Updated 2 years ago
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆401Updated 11 months ago
• TimeSynth / TimeSynth
  A Multipurpose Library for Synthetic Time Series Generation in Python
  ☆364Updated last year
• DynamicsAndNeuralSystems / catch22
  catch22: CAnonical Time-series CHaracteristics
  ☆401Updated this week
• predict-idlab / tsflex
  Flexible time series feature extraction & processing
  ☆415Updated 7 months ago
• damitkwr / ESRNN-GPU
  PyTorch GPU implementation of the ES-RNN model for time series forecasting
  ☆320Updated 5 years ago
• seninp / saxpy
  Symbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python
  ☆210Updated last year
• angus924 / minirocket
  MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
  ☆301Updated 3 years ago
• firmai / atspy
  AtsPy: Automated Time Series Models in Python (by @firmai)
  ☆514Updated 2 years ago
• arundo / tsaug
  A Python package for time series augmentation
  ☆352Updated 2 years ago
• zillow / luminaire
  Luminaire is a python package that provides ML driven solutions for monitoring time series data.
  ☆773Updated last year
• patrickzib / SFA
  Scalable Time Series Data Analytics
  ☆314Updated 3 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
• eltonlaw / impyute
  Data imputations library to preprocess datasets with missing data
  ☆359Updated 3 years ago
• microprediction / timemachines
  Predict time-series with one line of code.
  ☆422Updated 5 months ago
• waico / SKAB
  SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.
  ☆355Updated 8 months ago
• firmai / deltapy
  DeltaPy - Tabular Data Augmentation (by @firmai)
  ☆544Updated last year
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆195Updated last year
• wannesm / dtaidistance
  Time series distances: Dynamic Time Warping (fast DTW implementation in C)
  ☆1,148Updated last month
• tslearn-team / tslearn
  The machine learning toolkit for time series analysis in Python
  ☆2,963Updated 9 months ago
• ourownstory / AR-Net
  A simple Auto-Regressive Neural Network for time-series
  ☆177Updated 3 years ago
• Mcompetitions / M4-methods
  Data, Benchmarks, and methods submitted to the M4 forecasting competition
  ☆766Updated 5 years ago