sktime / skbaseLinks
Base classes for creating scikit-learn-like parametric objects, and tools for working with them.
☆27Updated last 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☆54Updated this week
- tsbootstrap: generate bootstrapped time series samples in Python☆81Updated last month
- Helper functions to plot, evaluate, preprocess and engineer features for forecasting☆82Updated this week
- A mixture density network, by PyTorch, for scikit-learn☆23Updated 8 months ago
- skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms☆34Updated last week
- A Library for Conformal Hyperparameter Tuning☆31Updated this week
- Tools for diagnostics and assessment of (machine learning) models☆38Updated 3 weeks ago
- Fast implementations of common forecasting routines☆40Updated this week
- Efficient matrix representations for working with tabular data☆123Updated 2 weeks ago
- Elo ratings for global black box derivative-free optimizers☆141Updated 6 months ago
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆112Updated 3 months ago
- ☆122Updated last week
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆276Updated this week
- ☆48Updated 7 months ago
- Rethinking machine learning pipelines☆32Updated 9 months ago
- Powerful add-ons for PyMC☆112Updated this week
- A Python Package for Probabilistic Prediction☆22Updated 4 years ago
- Fast window operations☆44Updated last year
- Quantile Regression Forests compatible with scikit-learn.☆236Updated last week
- python implementation of catch22☆85Updated 3 weeks ago
- Bayesian time series forecasting and decision analysis☆117Updated 2 years ago
- Generalized additive models in Python with a Bayesian twist☆78Updated last year
- A framework for calibration measurement of binary probabilistic models☆28Updated last year
- Integrated tool for model development and validation☆31Updated last week
- A library for Time Series EDA (exploratory data analysis)☆71Updated last year
- Time based splits for cross validation☆38Updated 3 weeks ago
- Probabilistic prediction with XGBoost.☆114Updated 5 months ago
- Gaussian Process Model Building Interface☆51Updated 5 months ago
- Python package to discover stochastic differential equations from time series data☆96Updated 7 months ago
- Repository for the explanation method Calibrated Explanations (CE)☆69Updated this week