ThunderGBM: Fast GBDTs and Random Forests on GPUs
☆715Mar 19, 2025Updated last year
Alternatives and similar repositories for thundergbm
Users that are interested in thundergbm are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ThunderSVM: A Fast SVM Library on GPUs and CPUs☆1,622Apr 1, 2024Updated 2 years ago
- Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…☆382Jan 8, 2022Updated 4 years ago
- High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and …☆3,094Aug 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 …☆18,599Updated this week
- SIGKDD'2019: DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks☆661Jul 25, 2024Updated last year
- 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.
- A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other ma…☆9,030Updated this week
- Universal model exchange and serialization format for decision tree forests☆825Updated this week
- cuML - RAPIDS Machine Learning Library☆5,230Updated this week
- This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .☆103Nov 19, 2018Updated 7 years ago
- An open source python library for automated feature engineering☆7,665Updated this week
- 高效决策树算法系列笔记☆230May 23, 2019Updated 7 years ago
- Fit interpretable models. Explain blackbox machine learning.☆6,897Jul 13, 2026Updated last week
- Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on sing…☆28,580Updated this week
- Natural Gradient Boosting for Probabilistic Prediction☆1,887Jul 1, 2026Updated 2 weeks ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'☆1,312Feb 4, 2021Updated 5 years ago
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,775Apr 8, 2026Updated 3 months ago
- A scikit-learn compatible neural network library that wraps PyTorch☆6,169Jul 9, 2026Updated last week
- Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosop…☆669Jun 17, 2019Updated 7 years ago
- An optimizer that trains as fast as Adam and as good as SGD.☆2,904Jul 23, 2023Updated 2 years ago
- Gradient Boosting With Piece-Wise Linear Trees☆158Apr 15, 2024Updated 2 years ago
- InfiniteBoost: building infinite ensembles with gradient descent☆183Sep 17, 2018Updated 7 years ago
- Hyper-parameter optimization for sklearn☆1,650Apr 15, 2025Updated last year
- A Library for Field-aware Factorization Machines☆1,601Aug 16, 2024Updated last year
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Tiny Gradient Boosting Tree☆324Jun 13, 2019Updated 7 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…☆2,991Aug 3, 2024Updated last year
- An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model c…☆14,365Jul 3, 2024Updated 2 years ago
- A high performance and generic framework for distributed DNN training☆3,717Oct 3, 2023Updated 2 years ago
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,113Jun 29, 2026Updated 3 weeks ago
- Official repository of QuickRank: A C++ suite of Learning to Rank algorithms.☆133Apr 24, 2019Updated 7 years ago
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆10,049Sep 11, 2025Updated 10 months ago
- Lingvo☆2,860Jun 22, 2026Updated 3 weeks ago
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,591Updated this week
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logi…☆350Jul 6, 2022Updated 4 years ago
- A natural language modeling framework based on PyTorch☆6,296Oct 17, 2022Updated 3 years ago
- Automated Machine Learning with scikit-learn☆8,121Jun 29, 2026Updated 3 weeks ago
- A library of sklearn compatible categorical variable encoders☆2,493Updated this week
- Multi-core implementation of Regularized Greedy Forest☆468Jul 14, 2018Updated 8 years ago
- A curated list of gradient boosting research papers with implementations.☆1,049Jan 5, 2026Updated 6 months ago
- Python package for stacking (machine learning technique)☆700Nov 1, 2025Updated 8 months ago