Fast SHAP value computation for interpreting tree-based models
☆555Jun 26, 2023Updated 2 years ago
Alternatives and similar repositories for FastTreeSHAP
Users that are interested in FastTreeSHAP are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆585Jun 8, 2024Updated last year
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆3,208Updated this week
- Algorithms for explaining machine learning models☆2,626Oct 17, 2025Updated 6 months ago
- ☆110Apr 15, 2026Updated 2 weeks ago
- Fit interpretable models. Explain blackbox machine learning.☆6,840Updated this week
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,585Apr 13, 2026Updated 2 weeks ago
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,508Jul 13, 2025Updated 9 months ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,541Updated this week
- A flexible, intuitive and fast forecasting library☆1,855Feb 20, 2025Updated last year
- Feature engineering and selection open-source Python library compatible with sklearn.☆2,233Mar 28, 2026Updated last month
- Algorithms for outlier, adversarial and drift detection☆2,517Dec 11, 2025Updated 4 months ago
- A game theoretic approach to explain the output of any machine learning model.☆25,355Updated this week
- For calculating global feature importance using Shapley values.☆287Updated this week
- nannyml: post-deployment data science in python☆2,135Jul 12, 2025Updated 9 months ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆652Feb 19, 2024Updated 2 years ago
- A library of sklearn compatible categorical variable encoders☆2,489Mar 1, 2026Updated last month
- Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation☆3,250Mar 26, 2026Updated last month
- A python library for decision tree visualization and model interpretation.☆3,140Jan 2, 2026Updated 3 months ago
- Natural Gradient Boosting for Probabilistic Prediction☆1,871Mar 24, 2026Updated last month
- Hummingbird compiles trained ML models into tensor computation for faster inference.☆3,534Jul 17, 2025Updated 9 months ago
- Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.☆2,483Feb 11, 2026Updated 2 months ago
- PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics☆1,283Mar 30, 2025Updated last year
- Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML va…☆4,005Dec 28, 2025Updated 4 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆92Jan 6, 2024Updated 2 years ago
- Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…☆442Feb 7, 2025Updated last year
- A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.☆4,339Updated this week
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆103Aug 31, 2022Updated 3 years ago
- Shapley Interactions and Shapley Values for Machine Learning☆718Apr 23, 2026Updated last week
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆4,764Updated this week
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,398Feb 19, 2025Updated last year
- Python implementations of the Boruta all-relevant feature selection method.☆1,624Nov 13, 2025Updated 5 months ago
- Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.☆64Apr 22, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Luminaire is a python package that provides ML driven solutions for monitoring time series data.☆803Aug 17, 2025Updated 8 months ago
- A Library for Uncertainty Quantification.☆924Apr 23, 2025Updated last year
- Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. Fro…☆7,426Apr 22, 2026Updated last week
- Doubt your data, find bad labels.☆516Jul 15, 2024Updated last year
- Machine learning with dataframes☆1,597Apr 23, 2026Updated last week
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,776Apr 8, 2026Updated 3 weeks ago
- A library of extension and helper modules for Python's data analysis and machine learning libraries.☆5,134Jan 24, 2026Updated 3 months ago