koaning / scikit-mdnLinks
A mixture density network, by PyTorch, for scikit-learn
☆23Updated 7 months ago
Alternatives and similar repositories for scikit-mdn
Users that are interested in scikit-mdn are comparing it to the libraries listed below
Sorting:
- Rethinking machine learning pipelines☆32Updated 7 months ago
- Toolkit to forge scikit-learn compatible estimators☆19Updated last week
- A multiverse of Prophet models for timeseries☆54Updated 2 weeks ago
- Tools for diagnostics and assessment of (machine learning) models☆38Updated 2 weeks ago
- Time based splits for cross validation☆38Updated last week
- Base classes for creating scikit-learn-like parametric objects, and tools for working with them.☆26Updated 2 weeks ago
- Polars Time Series Extension☆29Updated 5 months ago
- PyData London 2022 Tutorial☆66Updated 3 years ago
- Prune your sklearn models☆19Updated 8 months ago
- Exploring some issues related to churn☆16Updated last year
- Efficient matrix representations for working with tabular data☆123Updated 3 weeks ago
- Missing data amputation and exploration functions for Python☆71Updated 2 years ago
- A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…☆12Updated last year
- A framework for calibration measurement of binary probabilistic models☆28Updated last year
- skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms☆33Updated 3 weeks ago
- bayes-toolbox☆93Updated last week
- A Library for Conformal Hyperparameter Tuning☆30Updated this week
- tsbootstrap: generate bootstrapped time series samples in Python☆79Updated this week
- A Modal that works with Panel in both server and notebook environments.☆21Updated last year
- Resources for some of our education content☆42Updated 2 weeks ago
- A library to use `modal` as a backend for `joblib`.☆29Updated 5 months ago
- A library for Time Series EDA (exploratory data analysis)☆69Updated 11 months ago
- Generalized additive models in Python with a Bayesian twist☆78Updated last year
- Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictiv…☆22Updated last year
- An abstraction layer for parameter tuning☆35Updated 10 months ago
- Gaussian Process Model Building Interface☆51Updated 4 months ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 3 years ago
- Website: Data Umbrella & PyMC open source sessions☆26Updated last year
- A Python Package for Probabilistic Prediction☆22Updated 4 years ago
- Global, derivative-free optimization for hyperparameter tuning☆42Updated 2 years ago