Alternatives and similar repositories for sktime-dl

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

• matrix-profile-foundation / matrixprofile
  A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.
  ☆386Updated 2 years ago
• dmbee / seglearn
  Python module for machine learning time series:
  ☆580Updated 3 years ago
• angus924 / rocket
  ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
  ☆458Updated 3 years ago
• fraunhoferportugal / tsfel
  An intuitive library to extract features from time series.
  ☆1,075Updated last week
• johannfaouzi / pyts
  A Python package for time series classification
  ☆1,869Updated 7 months ago
• DynamicsAndNeuralSystems / catch22
  catch22: CAnonical Time-series CHaracteristics
  ☆459Updated this week
• arundo / tsaug
  A Python package for time series augmentation
  ☆367Updated 3 years ago
• cerlymarco / tsmoothie
  A python library for time-series smoothing and outlier detection in a vectorized way.
  ☆771Updated 2 years ago
• TimeSynth / TimeSynth
  A Multipurpose Library for Synthetic Time Series Generation in Python
  ☆382Updated 2 years ago
• 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…
  ☆764Updated last year
• damitkwr / ESRNN-GPU
  PyTorch GPU implementation of the ES-RNN model for time series forecasting
  ☆319Updated 6 years ago
• philipperemy / n-beats
  Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
  ☆903Updated 2 years ago
• firmai / atspy
  AtsPy: Automated Time Series Models in Python (by @firmai)
  ☆520Updated 3 years ago
• ServiceNow / N-BEATS
  N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started …
  ☆604Updated 3 years ago
• ourownstory / AR-Net
  A simple Auto-Regressive Neural Network for time-series
  ☆179Updated 4 years 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
• seninp / saxpy
  Symbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python
  ☆217Updated 5 months ago
• angus924 / minirocket
  MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
  ☆328Updated 3 years ago
• predict-idlab / tsflex
  Flexible time series feature extraction & processing
  ☆436Updated last year
• hfawaz / InceptionTime
  InceptionTime: Finding AlexNet for Time Series Classification
  ☆729Updated 2 years ago
• zillow / luminaire
  Luminaire is a python package that provides ML driven solutions for monitoring time series data.
  ☆800Updated 5 months ago
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆440Updated last year
• Mcompetitions / M4-methods
  Data, Benchmarks, and methods submitted to the M4 forecasting competition
  ☆804Updated 5 years ago
• patrickzib / SFA
  Scalable Time Series Data Analytics
  ☆320Updated 9 months ago
• intive-DataScience / tbats
  BATS and TBATS forecasting methods
  ☆183Updated 2 years ago
• shobrook / sequitur
  Library of autoencoders for sequential data
  ☆451Updated last year
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆644Updated last year
• microprediction / timemachines
  Predict time-series with one line of code.
  ☆435Updated last year
• eltonlaw / impyute
  Data imputations library to preprocess datasets with missing data
  ☆361Updated 4 years ago
• cod3licious / autofeat
  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
  ☆537Updated last month