Universal model exchange and serialization format for decision tree forests
☆813Apr 20, 2026Updated last 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☆47Apr 13, 2026Updated 2 weeks ago
- Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.☆469Jan 1, 2026Updated 4 months ago
- Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…☆383Jan 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 …☆18,295Apr 25, 2026Updated last week
- Hummingbird compiles trained ML models into tensor computation for faster inference.☆3,534Jul 17, 2025Updated 9 months 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.
- treelite runtime binding in Rust☆12Jun 12, 2025Updated 10 months ago
- ThunderGBM: Fast GBDTs and Random Forests on GPUs☆712Mar 19, 2025Updated last year
- FIL backend for the Triton Inference Server☆90Updated this week
- A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other ma…☆8,921Updated this week
- Neo-AI-DLR is a common runtime for machine learning models compiled by AWS SageMaker Neo, TVM, or TreeLite.☆495May 18, 2023Updated 2 years ago
- High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and …☆3,097Aug 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…☆28,324Apr 24, 2026Updated last week
- Multi-core implementation of Regularized Greedy Forest☆468Jul 14, 2018Updated 7 years 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.
- SIGKDD'2019: DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks☆658Jul 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☆513Nov 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.☆876Apr 20, 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.☆6,840Updated this week
- Distributed Factorization Machines☆299Mar 23, 2016Updated 10 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.
- model compiler for decision tree ensembles☆11Aug 12, 2025Updated 8 months ago
- Performance of various open source GBM implementations☆224Feb 17, 2026Updated 2 months ago
- An open source python library for automated feature engineering☆7,630Feb 3, 2026Updated 2 months ago
- ☆110Apr 15, 2026Updated 2 weeks ago
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,776Apr 8, 2026Updated 3 weeks ago
- A game theoretic approach to explain the output of any machine learning model.☆25,355Updated this 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☆622Mar 6, 2026Updated last month
- ☆1,651Sep 11, 2018Updated 7 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,588Mar 16, 2026Updated last month
- Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, R…☆2,976Aug 3, 2024Updated last year
- Scalable, fast, and lightweight system for large-scale topic modeling☆843Dec 28, 2020Updated 5 years ago
- Automatic extraction of relevant features from time series:☆9,183Nov 15, 2025Updated 5 months ago
- A library of sklearn compatible categorical variable encoders☆2,489Mar 1, 2026Updated 2 months ago
- common in-memory tensor structure☆1,202Jan 26, 2026Updated 3 months ago
- cuML - RAPIDS Machine Learning Library☆5,181Updated this week