FBruzzesi / sklearn-smithy
Toolkit to forge scikit-learn compatible estimators
☆18Updated 3 weeks ago
Alternatives and similar repositories for sklearn-smithy:
Users that are interested in sklearn-smithy are comparing it to the libraries listed below
- Time based splits for cross validation☆37Updated 3 weeks ago
- Rethinking machine learning pipelines☆28Updated 3 months ago
- A mixture density network, by PyTorch, for scikit-learn☆22Updated 3 months ago
- Tools for diagnostics and assessment of (machine learning) models☆34Updated 2 weeks ago
- Fast implementations of common forecasting routines☆34Updated this week
- Resources for some of our education content☆39Updated last month
- Sentiment and language detection for text analytics.☆17Updated 8 months ago
- Exploring some issues related to churn☆16Updated last year
- A Library for Conformal Hyperparameter Tuning☆29Updated this week
- Prune your sklearn models☆19Updated 4 months ago
- Have UV deal with all your Jupyter deps.☆24Updated 6 months ago
- skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms☆26Updated this week
- A library for Time Series EDA (exploratory data analysis)☆69Updated 7 months ago
- Repository for the explanation method Calibrated Explanations (CE)☆64Updated 2 weeks ago
- Causal Impact but with MFLES and conformal prediction intervals☆33Updated 2 months ago
- sktime - python toolbox for time series: pipelines and transformers☆24Updated 2 years ago
- 📊 Explain why metrics change by unpacking them☆37Updated 2 months ago
- Fast window operations☆40Updated 9 months ago
- A multiverse of Prophet models for timeseries☆43Updated this week
- Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting☆26Updated 2 years ago
- Helper functions to plot, evaluate, preprocess and engineer features for forecasting☆56Updated 2 weeks ago
- A library to use `modal` as a backend for `joblib`.☆28Updated 2 months ago
- Identifiers and Standard Format Parsing for Polars Dataframe☆15Updated last month
- Wrapper around MLForecast for more plug and play forecasting☆10Updated last year
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆50Updated last year
- An abstraction layer for parameter tuning☆35Updated 6 months ago