sktime / skbaseLinks
Base classes for creating scikit-learn-like parametric objects, and tools for working with them.
☆31Updated this week
Alternatives and similar repositories for skbase
Users that are interested in skbase are comparing it to the libraries listed below
Sorting:
- A multiverse of Prophet models for timeseries☆69Updated this week
- tsbootstrap: generate bootstrapped time series samples in Python☆86Updated 4 months ago
- A mixture density network, by PyTorch, for scikit-learn☆24Updated last year
- skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms☆39Updated 2 months ago
- Helper functions to plot, evaluate, preprocess and engineer features for forecasting☆93Updated last week
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆114Updated 2 months ago
- A Python Package for Probabilistic Prediction☆22Updated 4 years ago
- Fast implementations of common forecasting routines☆42Updated last week
- Polars Time Series Extension☆31Updated 3 weeks ago
- Analyze and model weekly calendar distributions using latent components☆10Updated last week
- Tools for diagnostics and assessment of (machine learning) models☆39Updated 3 weeks ago
- Rethinking machine learning pipelines☆33Updated 2 months ago
- Powerful add-ons for PyMC☆126Updated last week
- Elo ratings for global black box derivative-free optimizers☆143Updated 9 months ago
- A library for Time Series EDA (exploratory data analysis)☆72Updated last year
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆291Updated this week
- python implementation of catch22☆88Updated 4 months ago
- Efficient matrix representations for working with tabular data☆127Updated 2 weeks ago
- Bayesian time series forecasting and decision analysis☆119Updated 2 years ago
- ☆130Updated last week
- ☆50Updated 2 months ago
- Toolkit to forge scikit-learn compatible estimators☆19Updated last month
- ☆48Updated 10 months ago
- Quantile Regression Forests compatible with scikit-learn.☆249Updated last week
- Probabilistic prediction with XGBoost.☆120Updated 8 months ago
- Competing Risks and Survival Analysis☆111Updated 2 months ago
- implementation of Cyclic Boosting machine learning algorithms☆94Updated last year
- ☆38Updated 3 years ago
- Repository for the explanation method Calibrated Explanations (CE)☆70Updated last week
- Integrated tool for model development and validation☆32Updated 3 weeks ago