Fast SHAP value computation for interpreting tree-based models
☆564Jun 26, 2023Updated 3 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 2 years ago
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆3,253Jul 28, 2026Updated last week
- Algorithms for explaining machine learning models☆2,643Oct 17, 2025Updated 9 months ago
- Fit interpretable models. Explain blackbox machine learning.☆6,909Updated this week
- ☆112Jul 29, 2026Updated last week
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,612Aug 3, 2026Updated last week
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,578Updated this week
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,522Jul 13, 2025Updated last year
- A flexible, intuitive and fast forecasting library☆1,855Feb 20, 2025Updated last year
- Feature engineering and selection open-source Python library compatible with sklearn.☆2,268Jul 31, 2026Updated last week
- For calculating global feature importance using Shapley values.☆294Updated this week
- Algorithms for outlier, adversarial and drift detection☆2,546Dec 11, 2025Updated 7 months ago
- A game theoretic approach to explain the output of any machine learning model.☆25,679Updated this week
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆658Feb 19, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- nannyml: post-deployment data science in python☆2,147Jul 12, 2025Updated last year
- A library of sklearn compatible categorical variable encoders☆2,495Jul 31, 2026Updated last week
- Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation☆3,281Jul 27, 2026Updated last week
- A python library for decision tree visualization and model interpretation.☆3,155Jan 2, 2026Updated 7 months ago
- Hummingbird compiles trained ML models into tensor computation for faster inference.☆3,541Jul 17, 2025Updated last year
- Natural Gradient Boosting for Probabilistic Prediction☆1,891Jul 1, 2026Updated last month
- Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.☆2,509Feb 11, 2026Updated 5 months ago
- PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics☆1,286Mar 30, 2025Updated last year
- 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
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆92Jan 6, 2024Updated 2 years ago
- Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML va…☆4,040Dec 28, 2025Updated 7 months ago
- Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…☆444Feb 7, 2025Updated last year
- Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.☆67Apr 22, 2024Updated 2 years ago
- A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.☆4,384Updated this week
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆4,864Updated this week
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,401Feb 19, 2025Updated last year
- Python implementations of the Boruta all-relevant feature selection method.☆1,625Nov 13, 2025Updated 8 months ago
- Shapley Interactions and Shapley Values for Machine Learning☆764Updated this week
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Luminaire is a python package that provides ML driven solutions for monitoring time series data.☆808Jun 2, 2026Updated 2 months ago
- Tree-Boosting, Gaussian Processes, and Mixed-Effects Models☆696Jul 23, 2026Updated 2 weeks ago
- A Library for Uncertainty Quantification.☆929Apr 23, 2025Updated last year
- Doubt your data, find bad labels.☆515Jul 15, 2024Updated 2 years ago
- TimeSHAP explains Recurrent Neural Network predictions.☆199Dec 21, 2023Updated 2 years ago
- Machine learning with dataframes☆1,648Jul 23, 2026Updated 2 weeks ago
- Merlion: A Machine Learning Framework for Time Series Intelligence☆4,489Mar 11, 2026Updated 4 months ago