ThunderGBM: Fast GBDTs and Random Forests on GPUs
☆711Mar 19, 2025Updated last year
Alternatives and similar repositories for thundergbm
Users that are interested in thundergbm are comparing it to the libraries listed below
Sorting:
- ThunderSVM: A Fast SVM Library on GPUs and CPUs☆1,621Apr 1, 2024Updated last year
- 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
- High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and …☆3,096Aug 28, 2023Updated 2 years ago
- A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used …☆18,165Mar 15, 2026Updated last week
- SIGKDD'2019: DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks☆660Jul 25, 2024Updated last year
- A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other ma…☆8,848Updated this week
- Universal model exchange and serialization format for decision tree forests☆812Updated this week
- cuML - RAPIDS Machine Learning Library☆5,148Updated this week
- This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .☆105Nov 19, 2018Updated 7 years ago
- An open source python library for automated feature engineering☆7,623Feb 3, 2026Updated last month
- Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on sing…☆28,138Updated this week
- Fit interpretable models. Explain blackbox machine learning.☆6,816Updated this week
- 高效决策树算法系列笔记☆231May 23, 2019Updated 6 years ago
- This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'☆1,313Feb 4, 2021Updated 5 years ago
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,775Feb 10, 2026Updated last month
- Natural Gradient Boosting for Probabilistic Prediction☆1,846Feb 25, 2026Updated 3 weeks ago
- A scikit-learn compatible neural network library that wraps PyTorch☆6,149Feb 25, 2026Updated 3 weeks ago
- Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosop…☆671Jun 17, 2019Updated 6 years ago
- An optimizer that trains as fast as Adam and as good as SGD.☆2,909Jul 23, 2023Updated 2 years ago
- InfiniteBoost: building infinite ensembles with gradient descent☆183Sep 17, 2018Updated 7 years ago
- Gradient Boosting With Piece-Wise Linear Trees☆157Apr 15, 2024Updated last year
- Hyper-parameter optimization for sklearn☆1,646Apr 15, 2025Updated 11 months ago
- Official repository of QuickRank: A C++ suite of Learning to Rank algorithms.☆131Apr 24, 2019Updated 6 years ago
- A Library for Field-aware Factorization Machines☆1,600Aug 16, 2024Updated last year
- Tiny Gradient Boosting Tree☆323Jun 13, 2019Updated 6 years ago
- An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model c…☆14,347Jul 3, 2024Updated last year
- A high performance and generic framework for distributed DNN training☆3,716Oct 3, 2023Updated 2 years ago
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,092Feb 2, 2026Updated last month
- Lingvo☆2,857Updated this week
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,613Updated this week
- A natural language modeling framework based on PyTorch☆6,306Oct 17, 2022Updated 3 years ago
- Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, R…☆2,964Aug 3, 2024Updated last year
- Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logi…☆349Jul 6, 2022Updated 3 years ago
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆10,047Sep 11, 2025Updated 6 months ago
- A library of sklearn compatible categorical variable encoders☆2,486Mar 1, 2026Updated 3 weeks ago
- Automated Machine Learning with scikit-learn☆8,072Jan 20, 2026Updated 2 months ago
- Multi-core implementation of Regularized Greedy Forest☆466Jul 14, 2018Updated 7 years ago
- cuDF - GPU DataFrame Library☆9,558Updated this week
- A curated list of gradient boosting research papers with implementations.☆1,045Jan 5, 2026Updated 2 months ago