carbonfact / icanexplainLinks
π Explain why metrics change by unpacking them
β40Updated last week
Alternatives and similar repositories for icanexplain
Users that are interested in icanexplain are comparing it to the libraries listed below
Sorting:
- implementation of Cyclic Boosting machine learning algorithmsβ94Updated last year
- Tools for diagnostics and assessment of (machine learning) modelsβ39Updated last month
- Toolkit to forge scikit-learn compatible estimatorsβ19Updated 3 weeks ago
- ππ Lets Python do AB testing analysis.β78Updated 8 months ago
- Cyclic Boosting Machines - an explainable supervised machine learning algorithmβ62Updated last year
- Time based splits for cross validationβ39Updated 3 weeks ago
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for anyβ¦β102Updated 3 years ago
- Probabilistic Gradient Boosting Machinesβ157Updated last year
- Autoregressive Bayesian linear modelβ21Updated 5 years ago
- Gradient boosting on steroidsβ28Updated last year
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAMβ86Updated last year
- Phi_K correlation analyzer libraryβ170Updated last week
- Hierarchical Time Series Forecasting with a familiar APIβ226Updated 2 years ago
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning systemβ77Updated 3 years ago
- A toolbox for fair and explainable machine learningβ55Updated last year
- β Eurybia monitors model drift over time and securizes model deployment with data validationβ215Updated last month
- WIPβ34Updated last year
- Rethinking machine learning pipelinesβ34Updated 3 months ago
- The simplest way to deploy a machine learning modelβ24Updated 3 years ago
- Buy Till You Die and Customer Lifetime Value statistical models in Python.β117Updated last year
- Missing data amputation and exploration functions for Pythonβ72Updated 3 years ago
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAMβ60Updated last year
- Exploring some issues related to churnβ17Updated last year
- Repository for the explanation method Calibrated Explanations (CE)β70Updated last week
- Train Gradient Boosting models that are both high-performance *and* Fair!β106Updated last week
- A multiverse of Prophet models for timeseriesβ70Updated last week
- A mixture density network, by PyTorch, for scikit-learnβ24Updated last year
- Multivariate Boosted TReeβ63Updated 3 years ago
- Quantile Regression Forests compatible with scikit-learn.β250Updated last week
- this repo might get acceptedβ28Updated 4 years ago