Alternatives and similar repositories for sktime-tutorial-pydata-amsterdam-2020

Users that are interested in sktime-tutorial-pydata-amsterdam-2020 are comparing it to the libraries listed below

• john-science / scipy_con_2019
  Tutorial Sessions for SciPy Con 2019
  ☆278Updated 3 weeks ago
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆161Updated last year
• mikekeith52 / scalecast
  The practitioner's forecasting library
  ☆341Updated 3 weeks ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆224Updated 2 years ago
• intive-DataScience / tbats
  BATS and TBATS forecasting methods
  ☆182Updated 2 years ago
• Nike-Inc / timeseries-generator
  A library to generate synthetic time series data by easy-to-use factors and generator
  ☆153Updated 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…
  ☆759Updated 10 months ago
• sktime / sktime-tutorial-pydata-global-2021
  Introduction to sktime at the PyData Global 2021
  ☆54Updated 3 years ago
• DataForScience / Timeseries
  Timeseries for everyone
  ☆260Updated 2 years ago
• mloning / intro-to-ml-with-time-series-DSSGx-2020
  Python tutorial on machine learning with time series for DSSGx 2020
  ☆23Updated 4 years ago
• EthanRosenthal / skits
  scikit-learn-inspired time series
  ☆200Updated last year
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆412Updated last year
• trainindata / feature-engineering-for-time-series-forecasting
  Code repository for the online course "Feature Engineering for Time Series Forecasting".
  ☆186Updated last year
• etcrago / Tutorial-Arima-w-jeffrey-yau
  ☆98Updated 6 years ago
• predict-idlab / tsflex
  Flexible time series feature extraction & processing
  ☆422Updated 10 months ago
• jxx123 / fireTS
  A python multi-variate time series prediction library working with sklearn
  ☆95Updated 4 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 3 years ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆249Updated last year
• antoinecarme / pyaf
  PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
  ☆459Updated 3 months ago
• mscharth / forecasting
  Forecasting lectures and tutorials using Python
  ☆125Updated 7 years ago
• sktime / sktime-dl
  DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
  ☆598Updated 11 months ago
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆195Updated last year
• FrancescaLazzeri / Machine-Learning-for-Time-Series-Forecasting
  ☆163Updated 3 years ago
• juanitorduz / btsa
  Berlin Time Series Analysis Repository
  ☆99Updated 2 years ago
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆377Updated 11 months ago
• alan-turing-institute / TCPD
  The Turing Change Point Dataset - A collection of time series for the evaluation and development of change point detection algorithms
  ☆154Updated 6 months ago
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆54Updated 10 months ago
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆178Updated last year
• AidanCooper / shap-analysis-guide
  How to Interpret SHAP Analyses: A Non-Technical Guide
  ☆56Updated 3 years ago
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆578Updated last year