Universal model exchange and serialization format for decision tree forests
☆823Jun 26, 2026Updated this week
Alternatives and similar repositories for treelite
Users that are interested in treelite are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- TL2cgen (TreeLite 2 C GENerator) is a model compiler for decision tree models☆50May 25, 2026Updated last month
- Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.☆475Jan 1, 2026Updated 5 months ago
- Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…☆381Jan 8, 2022Updated 4 years ago
- A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used …☆18,505Updated this week
- Hummingbird compiles trained ML models into tensor computation for faster inference.☆3,537Jul 17, 2025Updated 11 months 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.
- treelite runtime binding in Rust☆12Jun 12, 2025Updated last year
- ThunderGBM: Fast GBDTs and Random Forests on GPUs☆715Mar 19, 2025Updated last year
- FIL backend for the Triton Inference Server☆92Jun 12, 2026Updated 2 weeks ago
- A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other ma…☆8,997Jun 24, 2026Updated last week
- Neo-AI-DLR is a common runtime for machine learning models compiled by AWS SageMaker Neo, TVM, or TreeLite.☆496May 18, 2023Updated 3 years ago
- High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and …☆3,095Aug 28, 2023Updated 2 years ago
- Stochastic Gradient Boosted Decision Trees as Standalone, TMVAPlugin and Python-Interface☆248Jul 19, 2020Updated 5 years ago
- Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on sing…☆28,509Updated this week
- Multi-core implementation of Regularized Greedy Forest☆467Jul 14, 2018Updated 7 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.
- SIGKDD'2019: DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks☆660Jul 25, 2024Updated last year
- Gradient Boosting With Piece-Wise Linear Trees☆158Apr 15, 2024Updated 2 years ago
- Reliable Allreduce and Broadcast Interface for distributed machine learning☆512Nov 5, 2020Updated 5 years ago
- ☆77Mar 23, 2021Updated 5 years ago
- Development Repository for GPU-accelerated GBDT training☆60Apr 12, 2017Updated 9 years ago
- A common bricks library for building scalable and portable distributed machine learning.☆877Jun 22, 2026Updated last week
- These are the codes used in the paper "Accelerated Gradient Boosting" by G. Biau, B. Cadre, and L. Rouvière.☆17Mar 3, 2018Updated 8 years ago
- Fit interpretable models. Explain blackbox machine learning.☆6,881Jun 22, 2026Updated last week
- Distributed Factorization Machines☆299Mar 23, 2016Updated 10 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- model compiler for decision tree ensembles☆11Aug 12, 2025Updated 10 months ago
- Performance of various open source GBM implementations☆224Feb 17, 2026Updated 4 months ago
- An open source python library for automated feature engineering☆7,659Jun 17, 2026Updated 2 weeks ago
- ☆111Jun 24, 2026Updated last week
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,775Apr 8, 2026Updated 2 months ago
- A game theoretic approach to explain the output of any machine learning model.☆25,563Jun 22, 2026Updated last week
- Pure Java implementation of XGBoost predictor for online prediction tasks.☆346Mar 8, 2022Updated 4 years ago
- Convert scikit-learn models and pipelines to ONNX☆625May 22, 2026Updated last month