SelfExplainML / PiML-ToolboxLinks
PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics
โ1,265Updated 6 months ago
Alternatives and similar repositories for PiML-Toolbox
Users that are interested in PiML-Toolbox are comparing it to the libraries listed below
Sorting:
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.โ1,464Updated last week
- Interpretable ML package ๐ for concise, transparent, and accurate predictive modeling (sklearn-compatible).โ1,500Updated last month
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.โ579Updated last year
- Predictive Power Score (PPS) in Pythonโ1,158Updated 8 months ago
- nannyml: post-deployment data science in pythonโ2,096Updated 2 months ago
- Python package for conformal predictionโ519Updated 3 months ago
- Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.โ2,449Updated 2 months ago
- Scalable machine ๐ค learning for time series forecasting.โ1,067Updated 3 weeks ago
- ๐ Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Modelsโ2,953Updated 2 weeks ago
- Shapley Interactions and Shapley Values for Machine Learningโ612Updated last week
- Fast SHAP value computation for interpreting tree-based modelsโ542Updated 2 years ago
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadโฆโ667Updated 7 months ago
- Machine learning with dataframesโ1,459Updated this week
- Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.โ1,137Updated last week
- The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to sโฆโ703Updated last week
- Feature engineering package with sklearn like functionalityโ2,132Updated 3 weeks ago
- Visualize decision trees in Pythonโ508Updated 6 months ago
- Human-explainable AI.โ526Updated 2 weeks ago
- A Python package for causal inference in quasi-experimental settingsโ1,037Updated this week
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.โ2,000Updated 3 months ago
- Extra blocks for scikit-learn pipelines.โ1,360Updated 2 weeks ago
- The repository to showcase the best framework for tabular data - the Awesome CatBoostโ264Updated last month
- Probabilistic Hierarchical forecasting ๐ with statistical and econometric methods.โ700Updated this week
- XGBoost + Optunaโ716Updated last year
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.โ634Updated last year
- The book every data scientist needs on their desk.โ978Updated 2 weeks ago
- Temporian is an open-source Python library for preprocessing โก and feature engineering ๐ temporal data ๐ for machine learning applicatiโฆโ703Updated last year
- ๐ข๐๐ป ๐ฌ๐ผ๐๐ฟ ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ. Skore's open-source Python library accelerates ML model development with automated evaluation reโฆโ529Updated last week
- Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Raโฆโ761Updated last year
- Time series forecasting with machine learning modelsโ1,370Updated this week