ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any model or data and different Shapley Values for tree-based models.
☆103Aug 31, 2022Updated 3 years ago
Alternatives and similar repositories for acv00
Users that are interested in acv00 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal…☆30Mar 23, 2023Updated 3 years ago
- A scikit-learn-compatible module for comparing imputation methods.☆140Jan 1, 2026Updated 7 months ago
- End-to-end machine learning project for rices detection☆47Jun 1, 2022Updated 4 years ago
- 📧 Melusine: Use python to automatize your email processing workflow☆363Jun 24, 2026Updated 2 months ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,584Aug 14, 2026Updated 2 weeks ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation☆224Mar 23, 2026Updated 5 months ago
- Référentiel d'évaluation data science responsable et de confiance☆74Sep 12, 2024Updated last year
- Web app using Pyodide to demo different types of Scikit-learn classifiers☆13Apr 16, 2022Updated 4 years ago
- A Python Rules Engine - Make rule handling simple☆66May 1, 2026Updated 3 months ago
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆3,252Updated this week
- A toolbox for fair and explainable machine learning☆57Jun 17, 2024Updated 2 years ago
- Explain XGBoost models with the Hoeffding functional decomposition.☆16Jul 8, 2026Updated last month
- Surrogate Assisted Feature Extraction☆37Aug 19, 2021Updated 5 years ago
- Implementation of tree-structured neural networks in PyTorch.☆15Nov 15, 2021Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- AntakIA is THE tool to explain an ML model or replace it with a collection of basic explainable models.☆14Jun 15, 2026Updated 2 months ago
- For calculating Shapley values via linear regression.☆74Jun 6, 2021Updated 5 years ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,618Aug 3, 2026Updated 3 weeks ago
- machine learning with logical rules in Python☆664Jan 31, 2024Updated 2 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆77Mar 22, 2023Updated 3 years ago
- A game theoretic approach to explain the output of any machine learning model.☆28Jul 16, 2023Updated 3 years ago
- A python library to build Model Trees with Linear Models at the leaves.☆389Jul 19, 2024Updated 2 years ago
- Learning clinical-decision rules with interpretable models.☆21Aug 10, 2023Updated 3 years ago
- ☆12May 20, 2021Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Fast SHAP value computation for interpreting tree-based models☆564Jun 26, 2023Updated 3 years ago
- For calculating global feature importance using Shapley values.☆293Updated this week
- Source Code for 'Implementing Machine Learning for Finance' by Tshepo Chris Nokeri☆34May 28, 2021Updated 5 years ago
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆47Jul 17, 2026Updated last month
- Federated Learning (FL) experiment simulation in Python.☆24Mar 19, 2026Updated 5 months ago
- Ensemble wavelet based neural network for generating epidemiological forecasting (epicasting)☆15Sep 20, 2025Updated 11 months ago
- A logical, reasonably standardized, but flexible project structure for conducting ml research 🍪☆19Apr 9, 2026Updated 4 months ago
- SINDy-SA framework: enhancing nonlinear system identification with sensitivity analysis☆12Apr 24, 2025Updated last year
- ☆21Oct 12, 2021Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A very simple library for exploiting graph-of-words in NLP☆12Apr 3, 2021Updated 5 years ago
- Lightning-fast Python library for generating, evaluating, selecting, and optimizing interpretable rules.☆15Updated this week
- Python Interface of the Scalable Bayesian Rule Lists☆20Feb 2, 2020Updated 6 years ago
- Paper and talk from KDD 2019 XAI Workshop☆19May 31, 2020Updated 6 years ago
- Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)☆46Feb 12, 2021Updated 5 years ago
- Python library for multidimensional analysis, classification - clustering analysis☆23Updated this week
- A lightweight implementation of removal-based explanations for ML models.☆59Jul 19, 2021Updated 5 years ago