linkedin / FastTreeSHAPView external linksLinks
Fast SHAP value computation for interpreting tree-based models
☆553Jun 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
Sorting:
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆3,141Feb 6, 2026Updated last week
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆585Jun 8, 2024Updated last year
- Algorithms for explaining machine learning models☆2,606Oct 17, 2025Updated 4 months ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,572Feb 4, 2026Updated last week
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,515Updated this week
- Fit interpretable models. Explain blackbox machine learning.☆6,792Updated this week
- Feature engineering and selection open-source Python library compatible with sklearn.☆2,198Updated this week
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,493Jul 13, 2025Updated 7 months ago
- A flexible, intuitive and fast forecasting library☆1,853Feb 20, 2025Updated 11 months ago
- Algorithms for outlier, adversarial and drift detection☆2,486Dec 11, 2025Updated 2 months ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆644Feb 19, 2024Updated last year
- nannyml: post-deployment data science in python☆2,124Jul 12, 2025Updated 7 months ago
- A library of sklearn compatible categorical variable encoders☆2,479Jan 8, 2026Updated last month
- Hummingbird compiles trained ML models into tensor computation for faster inference.☆3,525Jul 17, 2025Updated 7 months ago
- ☆106Updated this week
- Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation☆3,244Jul 7, 2025Updated 7 months ago
- Natural Gradient Boosting for Probabilistic Prediction☆1,827Nov 21, 2025Updated 2 months ago
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆102Aug 31, 2022Updated 3 years ago
- A python library for decision tree visualization and model interpretation.☆3,123Jan 2, 2026Updated last month
- Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.☆2,475Updated this week
- A game theoretic approach to explain the output of any machine learning model.☆25,023Updated this week
- Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…☆440Feb 7, 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…☆3,976Dec 28, 2025Updated last month
- For calculating global feature importance using Shapley values.☆284Feb 9, 2026Updated last week
- A python package for benchmarking interpretability techniques on Transformers.☆215Sep 29, 2024Updated last year
- Python implementations of the Boruta all-relevant feature selection method.☆1,619Nov 13, 2025Updated 3 months ago
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆4,687Updated this week
- The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to s…☆737Updated this week
- PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics☆1,285Mar 30, 2025Updated 10 months ago
- Doubt your data, find bad labels.☆516Jul 15, 2024Updated last year
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,393Feb 19, 2025Updated 11 months ago
- A Library for Uncertainty Quantification.☆924Apr 23, 2025Updated 9 months ago
- Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. Fro…☆7,111Updated this week
- Predictive Power Score (PPS) in Python☆1,170Sep 30, 2025Updated 4 months ago
- A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rew…☆2,138Updated this week
- Extra blocks for scikit-learn pipelines.☆1,378Updated this week
- Machine learning with dataframes☆1,554Feb 9, 2026Updated last week
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,033Jun 5, 2025Updated 8 months ago
- TimeSHAP explains Recurrent Neural Network predictions.☆196Dec 21, 2023Updated 2 years ago