Top 18 gradient-boosting Open-Source Projects

• shap

  38 21,632 9.3 Jupyter Notebook

  A game theoretic approach to explain the output of any machine learning model.

  

Project mention: Shap v0.45.0 | news.ycombinator.com | 2024-03-08

• LightGBM

  11 16,043 9.2 C++

  A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

  

Project mention: SIRUS.jl: Interpretable Machine Learning via Rule Extraction | /r/Julia | 2023-06-29

SIRUS.jl is a pure Julia implementation of the SIRUS algorithm by Bénard et al. (2021). The algorithm is a rule-based machine learning model meaning that it is fully interpretable. The algorithm does this by firstly fitting a random forests and then converting this forest to rules. Furthermore, the algorithm is stable and achieves a predictive performance that is comparable to LightGBM, a state-of-the-art gradient boosting model created by Microsoft. Interpretability, stability, and predictive performance are described in more detail below.

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• catboost

  8 7,744 9.9 Python

  A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

  

Project mention: CatBoost: Open-source gradient boosting library | news.ycombinator.com | 2024-03-05

• interpret

  6 5,998 9.7 C++

  Fit interpretable models. Explain blackbox machine learning.

  

• ngboost

  1 1,582 6.7 Python

  Natural Gradient Boosting for Probabilistic Prediction

  

• awesome-fraud-detection-papers

  51 1,545 3.4 Python

  A curated list of data mining papers about fraud detection.

Project mention: awesome-fraud-detection-papers: NEW Extended Research - star count:1346.0 | /r/algoprojects | 2023-05-13

• awesome-gradient-boosting-papers

  1 980 3.7 Python

  A curated list of gradient boosting research papers with implementations.

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• decision-forests

  1 650 8.3 Python

  A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.

  

• yggdrasil-decision-forests

  4 423 9.5 C++

  A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.

  

Project mention: Why do tree-based models still outperform deep learning on tabular data? (2022) | news.ycombinator.com | 2024-03-05

Is it this library https://github.com/google/yggdrasil-decision-forests ?

• lleaves

  4 292 7.0 Python

  Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.

Project mention: LLeaves: A LLVM-based compiler for LightGBM decision trees | news.ycombinator.com | 2023-07-08

• EvoTrees.jl

  2 173 8.2 Julia

  Boosted trees in Julia

  

• fairgbm

  2 97 4.4 C++

  Train Gradient Boosting models that are both high-performance *and* Fair!

  

• ML-Prediction-LoL

  2 43 0.0 Jupyter Notebook

  In this project I implemented two machine learning algorithms to predicts the outcome of a League of Legends game.

• miniboosts

  1 25 8.5 Rust

  A collection of boosting algorithms written in Rust 🦀

• ML-Modelling-Disease-Analysis

  9 14 10.0 Python

  Obtaining meaningful results from the data set using the model trained with machine learning methods.

• csgo-impact-rating

  1 9 0.0 Jupyter Notebook

  A probabilistic player rating system for Counter Strike: Global Offensive, powered by machine learning

• decision-tree-classifier

  3 2 0.0 C++

  Decision Tree Classifier and Boosted Random Forest

• vswift

  1 1 9.1 R

  Tools created for machine learning model evaluation

Project mention: Seeking Feedback on my R Package for Categorical Model Validation | /r/datascience | 2023-07-03

Here is the repo if anyone is interested: https://github.com/donishadsmith/vswift

• SaaSHub

  www.saashub.com sponsored

  SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

  

gradient-boosting related posts

• Shap v0.45.0
  1 project | news.ycombinator.com | 8 Mar 2024
• CatBoost: Open-source gradient boosting library
  1 project | news.ycombinator.com | 5 Mar 2024
• [D] Convert a ML model into a rule based system
  2 projects | /r/MachineLearning | 6 Dec 2023
• LLeaves: A LLVM-based compiler for LightGBM decision trees
  1 project | news.ycombinator.com | 8 Jul 2023
• [P] tinyshap: A minimal implementation of the SHAP algorithm
  2 projects | /r/MachineLearning | 29 Apr 2023
• What’s after model adequacy?
  1 project | /r/datascience | 10 Apr 2023
• Feature importance with feature engineering?
  1 project | /r/datascience | 31 Mar 2023
• A note from our sponsor - WorkOS
  workos.com | 28 Apr 2024

  The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →

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