koaning / scikit-mdnLinks
A mixture density network, by PyTorch, for scikit-learn
☆24Updated last year
Alternatives and similar repositories for scikit-mdn
Users that are interested in scikit-mdn are comparing it to the libraries listed below
Sorting:
- Toolkit to forge scikit-learn compatible estimators☆19Updated last week
- Rethinking machine learning pipelines☆34Updated 3 months ago
- Time based splits for cross validation☆39Updated last week
- A multiverse of Prophet models for timeseries☆71Updated 3 weeks ago
- Base classes for creating scikit-learn-like parametric objects, and tools for working with them.☆31Updated last week
- Exploring some issues related to churn☆17Updated last year
- Analyze and model weekly calendar distributions using latent components☆10Updated 3 weeks ago
- skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms☆41Updated 3 months ago
- Polars Time Series Extension☆32Updated 2 months ago
- tsbootstrap: generate bootstrapped time series samples in Python☆88Updated 6 months ago
- A framework for calibration measurement of binary probabilistic models☆29Updated last year
- A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…☆12Updated last year
- Easily create and customize bump charts in Python☆66Updated 3 months ago
- A library for Time Series EDA (exploratory data analysis)☆72Updated last year
- A Python Package for Probabilistic Prediction☆22Updated 4 years ago
- Missing data amputation and exploration functions for Python☆72Updated 3 years ago
- A Modal that works with Panel in both server and notebook environments.☆21Updated 2 years ago
- PyData London 2022 Tutorial☆69Updated 3 years ago
- Tools for diagnostics and assessment of (machine learning) models☆39Updated last week
- Generalized additive models in Python with a Bayesian twist☆78Updated 4 months ago
- Efficient matrix representations for working with tabular data☆130Updated last week
- 📊 Explain why metrics change by unpacking them☆40Updated 2 weeks ago
- implementation of Cyclic Boosting machine learning algorithms☆94Updated last year
- A Python library for machine-learning and feedback loops on streaming data☆63Updated 2 years ago
- Decorators for logging purposes for all your dataframes☆14Updated 11 months ago
- Fast approximate joins on string columns for polars dataframes.☆15Updated 2 weeks ago
- Gradient Boosting Modules for PyTorch☆78Updated last week
- Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.☆85Updated this week
- Resources for some of our education content☆46Updated 4 months ago
- bayes-toolbox☆93Updated 6 months ago