☆112Oct 1, 2026Updated last week
Alternatives and similar repositories for gputreeshap
Users that are interested in gputreeshap are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Sparrow is a boosting algorithm implementation that is optimized for training on very large datasets and/or in the limited memory setting…☆21Jan 15, 2021Updated 5 years ago
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆75Jun 9, 2020Updated 6 years ago
- FIL backend for the Triton Inference Server☆94Updated this week
- For calculating global feature importance using Shapley values.☆294Sep 28, 2026Updated last week
- Fast SHAP value computation for interpreting tree-based models☆566Jun 26, 2023Updated 3 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.
- Perform inference on algorithm-agnostic variable importance☆24May 18, 2026Updated 4 months ago
- Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!☆29Jul 13, 2019Updated 7 years ago
- Tools for training explainable models using attribution priors.☆128Mar 19, 2021Updated 5 years ago
- GBM implementation on Legate☆13Jul 10, 2026Updated 2 months ago
- Friedman's H-statistics☆36Jan 1, 2026Updated 9 months ago
- Preview of Templates in the rticles Package☆15Mar 5, 2021Updated 5 years ago
- Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.☆20Sep 25, 2023Updated 3 years ago
- a benchmark to test scalability of xgboost4j-spark and relevant projects☆22Dec 20, 2019Updated 6 years ago
- Course materials for BANA 7052 (Applied Linear Regression) at UC☆15Oct 11, 2020Updated 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.
- Swift wrapper for XGBoost gradient boosting machine learning framework with Numpy and TensorFlow support.☆29Aug 29, 2020Updated 6 years ago
- TL2cgen (TreeLite 2 C GENerator) is a model compiler for decision tree models☆55Updated this week
- Compute SHAP values for your tree-based models using the TreeSHAP algorithm☆104May 13, 2026Updated 4 months ago
- A lightweight implementation of removal-based explanations for ML models.☆59Jul 19, 2021Updated 5 years ago
- Automatic Machine Learning (AutoML) for Wave Apps☆32Jul 17, 2023Updated 3 years ago
- Python Accumulated Local Effects package☆173Feb 28, 2023Updated 3 years ago
- Scale Optuna with Dask☆37Oct 1, 2020Updated 6 years ago
- Universal model exchange and serialization format for decision tree forests☆833Updated this week
- Statistical inference on machine learning or general non-parametric models☆44May 10, 2024Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Images for Saturn Cloud☆12Aug 21, 2026Updated last month
- For calculating Shapley values via linear regression.☆74Jun 6, 2021Updated 5 years ago
- SHAP (SHapley Additive exPlnation) visualization for 'XGBoost' in 'R'☆142Dec 13, 2025Updated 9 months ago
- eXtreme RuleFit (sparse linear models on XGBoost ensembles)☆44Dec 17, 2025Updated 9 months ago
- ☆13Jul 23, 2025Updated last year
- Python library for Ceteris Paribus Plots (What-if plots)☆29Apr 23, 2021Updated 5 years ago
- Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.☆27Feb 6, 2025Updated last year
- Fast approximate Shapley values in R☆137Jul 6, 2026Updated 3 months ago
- Tree-Boosting, Gaussian Processes, and Mixed-Effects Models☆702Oct 1, 2026Updated last week
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Filter-based feature selection for mlr3☆21Sep 28, 2026Updated last week
- Recursive Partitioning and Regression Trees☆57Sep 10, 2026Updated 3 weeks ago
- Successive Halving and Hyperband in the mlr3 ecosystem☆19Sep 23, 2026Updated 2 weeks ago
- R package for building flexible workflows☆13Oct 16, 2019Updated 6 years ago
- Machine Learning Data Fairness and Bias☆15Apr 29, 2026Updated 5 months ago
- Docker containers for R-hub☆18Oct 2, 2026Updated last week
- An R wrapper of SHAP python library☆58May 25, 2023Updated 3 years ago