Alternatives and similar repositories for sktime-tutorial-pydata-global-2022

Users that are interested in sktime-tutorial-pydata-global-2022 are comparing it to the libraries listed below

• Techtonique / nnetsauce
  Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)
  ☆20Updated last week
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆72Updated last year
• kvnkho / pydata-timeseries-forecasting
  Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting
  ☆27Updated 2 years ago
• tblume1992 / ConformalImpact
  Causal Impact but with MFLES and conformal prediction intervals
  ☆33Updated 11 months ago
• smazzanti / valicast
  Validation for forecasts
  ☆17Updated 2 years ago
• MLDreamer / Linkedin-posts
  ☆24Updated 2 months ago
• FBruzzesi / sklearn-smithy
  Toolkit to forge scikit-learn compatible estimators
  ☆19Updated last month
• soda-inria / survival-analysis-benchmark
  Exploratory repository to study predictive survival analysis models
  ☆38Updated 2 years ago
• xqnwang / conformalForecast
  Methods and tools for multistep-ahead time series conformal prediction.
  ☆42Updated 2 months ago
• sktime / sktime-workshop-pydata-london-2022
  PyData London 2022 sktime workshop
  ☆11Updated 2 years ago
• Techtonique / ahead_python
  Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)
  ☆13Updated 3 weeks ago
• lancastercmaf / FFT
  Friday Forecasting Talks materials
  ☆11Updated last year
• modeva-ai / Modeva
  Integrated tool for model development and validation
  ☆32Updated 3 weeks ago
• Nixtla / coreforecast
  Fast implementations of common forecasting routines
  ☆42Updated last week
• drumtorben / polars-ts
  Polars Time Series Extension
  ☆31Updated 3 weeks ago
• PJalgotrader / Deep_forecasting-USU
  GitHub repository for deep forecasting courses owned and maintained by prof. Jahangiry
  ☆42Updated 2 weeks ago
• AngelPone / pyhts
  A python package for hierarchical forecasting, inspired by hts package in R.
  ☆29Updated 9 months ago
• ctanujit / FEWNet
  ☆16Updated 8 months ago
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆62Updated 3 years ago
• ChadFulton / scipy2022-bayesian-time-series
  Bayesian Estimation and Forecasting of Time Series in statsmodels, for Scipy 2022 conference
  ☆25Updated 3 years ago
• koaning / scikit-churn
  Exploring some issues related to churn
  ☆17Updated last year
• pyartemis / artemis
  A Python package with explanation methods for extraction of feature interactions from predictive models
  ☆32Updated 2 years ago
• KishManani / m5-forecasting-tutorial
  An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.
  ☆20Updated 2 years ago
• MartinWeigl / pycaleva
  A framework for calibration measurement of binary probabilistic models
  ☆29Updated last year
• tblume1992 / MFLES
  ☆115Updated last year
• ogrisel / euroscipy-2022-time-series
  Tutorial on time-series forcasting with scikit-learn
  ☆34Updated 2 years ago
• finlytics-hub / churn_model-survival-analysis
  ☆11Updated 5 years ago
• cetagostini / marketing-science-projects
  Mis proyectos de marketing aplicando AI
  ☆11Updated last month
• smazzanti / tds_features_important_doesnt_mean_good
  ☆32Updated 2 years ago
• OVVO-Financial / NNS
  Nonlinear Nonparametric Statistics
  ☆95Updated last week