scikit-learn-contrib / fastcanLinks
A fast canonical-correlation-based greedy search algorithm for feature selection, system identification, data pruning, etc.
☆15Updated last week
Alternatives and similar repositories for fastcan
Users that are interested in fastcan are comparing it to the libraries listed below
Sorting:
- tsbootstrap: generate bootstrapped time series samples in Python☆84Updated 3 months ago
 - Repo that groups utility functions for e.g. plotting of Conformal prediction metrics☆17Updated last year
 - Probabilistic prediction with XGBoost.☆119Updated 7 months ago
 - A framework for calibration measurement of binary probabilistic models☆29Updated last year
 - Lightweight framework for structured and repeatable model validation☆12Updated 2 weeks ago
 - Fast implementation of Venn-ABERS probabilistic predictors☆75Updated last year
 - ☆48Updated 9 months ago
 - skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms☆37Updated last month
 - Toolbox for non-linear calibration modeling.☆27Updated last month
 - python implementation of catch22☆87Updated 3 months ago
 - Code for performing various projection pursuit routines☆36Updated 3 years ago
 - A multiverse of Prophet models for timeseries☆66Updated this week
 - implementation of Cyclic Boosting machine learning algorithms☆94Updated last year
 - Helper functions to plot, evaluate, preprocess and engineer features for forecasting☆89Updated this week
 - 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆115Updated last month
 - ☆125Updated last week
 - Base classes for creating scikit-learn-like parametric objects, and tools for working with them.☆29Updated this week
 - Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal…☆30Updated 2 years ago
 - Mambular is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and dis…☆269Updated 2 months ago
 - A mixture density network, by PyTorch, for scikit-learn☆24Updated 11 months ago
 - Analyze and model weekly calendar distributions using latent components☆10Updated last week
 - Fast and modular sklearn replacement for generalized linear models☆185Updated last month
 - Lightweight tools for experimental design and multi-objective optimization.☆29Updated 3 months ago
 - A regression solver for high dimensional penalized linear, quantile and logistic regression models'☆91Updated 4 months ago
 - Bayesian optimization with conformal coverage guarantees☆28Updated 3 years ago
 - Fully and Partially Bayesian Neural Nets☆75Updated 6 months ago
 - Quantile Regression Forests compatible with scikit-learn.☆246Updated last week
 - ☆17Updated last year
 - Forecast evaluation library☆127Updated 2 weeks ago
 - Competing Risks and Survival Analysis☆108Updated last month