https://github.com/szilard/benchm-ml

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

data-science deep-learning gradient-boosting-machine h2o machine-learning python r random-forest spark xgboost

Last synced: 15 May 2025

https://github.com/jphall663/interpretable_machine_learning_with_python

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

accountability data-mining data-science decision-tree fairness fatml gradient-boosting-machine h2o iml interpretability interpretable interpretable-ai interpretable-machine-learning interpretable-ml lime machine-learning machine-learning-interpretability python transparency xai

Last synced: 16 May 2025

https://github.com/serengil/chefboost

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python

adaboost c45-trees cart categorical-features data-mining data-science decision-trees gbdt gbm gbrt gradient-boosting gradient-boosting-machine gradient-boosting-machines id3 kaggle machine-learning python random-forest regression-tree

Last synced: 14 May 2025

https://github.com/ledell/useR-machine-learning-tutorial

useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html

data-science deep-learning ensemble-learning gradient-boosting-machine machine-learning r random-forest tutorial

Last synced: 19 Jul 2025

https://github.com/ledell/user-machine-learning-tutorial

useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html

data-science deep-learning ensemble-learning gradient-boosting-machine machine-learning r random-forest tutorial

Last synced: 05 Apr 2025

https://github.com/mdabros/SharpLearning

Machine learning for C# .Net

adaboost cross-validation csharp decision-trees deep-learning dotnet ensemble-learning gradient-boosting-machine learning machine machine-learning metrics neural-nets opensource random-forest

Last synced: 04 May 2025

https://github.com/wepe/tgboost

Tiny Gradient Boosting Tree

boosted-trees gradient-boosting-machine machine-learning sliq xgboost

Last synced: 29 Oct 2025

https://github.com/szilard/gbm-perf

Performance of various open source GBM implementations

benchmark gbm gradient-boosting-machine h2oai lightgbm machine-learning xgboost

Last synced: 06 Mar 2025

https://github.com/szilard/GBM-perf

Performance of various open source GBM implementations

benchmark gbm gradient-boosting-machine h2oai lightgbm machine-learning xgboost

Last synced: 14 Mar 2025

https://github.com/sh1ng/arboretum

Gradient Boosting powered by GPU(NVIDIA CUDA)

arboretum cuda gpu gradient-boosting gradient-boosting-machine machine-learning python

Last synced: 07 Nov 2025

https://github.com/serengil/decision-trees-for-ml

Building Decision Trees From Scratch In Python

adaboost bagging boosting c45 cart decision-tree gbm gradient-boosting gradient-boosting-machine id3 lightgbm machine-learning random-forest regression-trees xgboost

Last synced: 04 Apr 2025

https://github.com/rubixml/housing

An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.

data-science ensemble gradient-boost gradient-boosted-trees gradient-boosting gradient-boosting-machine gradient-boosting-regressor gradient-descent housing-prices kaggle kaggle-competition machine-learning machine-learning-tutorial php php-machine-learning php-ml predicting-housing-prices regression rubix rubix-ml

Last synced: 30 Jul 2025

https://github.com/benedekrozemberczki/boostedfactorization

An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).

boostedne boosting boosting-machine data-mining deepwalk dimensionality-reduction factorization-machine gradient-boosting gradient-boosting-machine l-ensnmf machine-learning matrix-factorization network-embedding nmf nmf-decomposition node-embedding node2vec sklearn unsupervised-learning word2vec

Last synced: 21 Aug 2025

https://github.com/haghish/mlim

mlim: single and multiple imputation with automated machine learning

automatic-machine-learning automl classimbalance data-science elastic-net extreme-gradient-boosting gbm glm gradient-boosting gradient-boosting-machine imputation imputation-algorithm imputation-methods machine-learning missing-data multipleimputation r rstats rstats-package stack-ensemble

Last synced: 19 Feb 2026

https://github.com/windqaq/ml2017

NTUEE Machine Learning, 2017 Spring

dimensionality-reduction gradient-boosting-machine kaggle-competition linear-regression logistic-regression machine-learning multi-label-classification ntu recommendation-system sentiment-classification svd svdplusplus

Last synced: 26 Jun 2025

https://github.com/navdeep-g/interpretable-ml

Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.

accountability data-mining data-science decision-trees fairness fatml gradient-boosting-machine iml interpretability interpretable interpretable-ai interpretable-machine-learning interpretable-ml lime machine-learning machine-learning-interpretability python transparency xai

Last synced: 12 Mar 2026

https://github.com/szilard/gbm-tune

Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions

gbm gradient-boosting-machine hyperparameter-optimization machine-learning overfitting

Last synced: 06 Mar 2025

https://github.com/statmixedml/py-boostlss

An extension of Py-Boost to probabilistic modelling

distributional-regression gamlss gradient-boosting-machine machine-learning multi-target-regression probabilistic-modeling quantile-estimation uncertainty-estimation

Last synced: 09 Mar 2026

https://github.com/rudreshveerkhare/customxgboost

Modified XGBoost implementation from scratch with Numpy using Adam and RSMProp optimizers.

adam-optimizer gradient-boosting-machine implementation-of-algorithms numpy rmsprop xgboost-algorithm

Last synced: 07 Oct 2025

https://github.com/gtesei/fast-furious

code (R, Matlab/Octave), models and meta-models I needed in my Machine Learning Lab but I didn't found on the shelf

ensemble-learning gradient-boosting-machine matlab metamodel model neural-network octave r svm

Last synced: 02 May 2025

https://github.com/serengil/h2o-ai-101

This repository covers h2o ai based implementations

auto-ml automl deep-learning gbm gradient-boosting gradient-boosting-decision-trees gradient-boosting-machine h2o h2oai machine-learning

Last synced: 04 Apr 2025

https://github.com/bgreenwell/MLDay18

Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18

decision-trees gradient-boosting-machine machine-learning partial-dependence-plot r random-forest variable-importance-plots

Last synced: 26 Apr 2025

https://github.com/bgreenwell/mlday18

Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18

decision-trees gradient-boosting-machine machine-learning partial-dependence-plot r random-forest variable-importance-plots

Last synced: 20 Aug 2025

https://github.com/leffff/stackboost

Open source gradient boosting library

boosting classification-model data-analysis data-science decision-tree ensemble-learning gradient-boosting gradient-boosting-classifier gradient-boosting-machine gradient-boosting-regressor pypi python regression-models

Last synced: 17 Jan 2026

https://github.com/ekagra-ranjan/Optimal-Bidding

Inter IIT Techmeet 2017, IIT Madras - Data Science Competition

bid-price bidding boosting-algorithm cross-validation data-science data-science-challenges data-science-competition electricity-market ensemble feature-engineering feature-extraction feature-selection gradient-boosting-machine interiit knn linear-regression market-price random-forest sklearn svm

Last synced: 08 May 2025

https://github.com/avinashbarnwal/gsoc-2019

All the Workings for GSOC-2019

accelerated-failure-time gradient-boosting-machine machine-learning machine-learning-algorithms python python3 r survival-analysis xgboost

Last synced: 02 Jul 2025

https://github.com/ekagra-ranjan/Analyze-This-18

(National Rank: 22) Analyze This' 18, American Express Data Science Competition

american-express americanexpress analyze-this boosting-algorithms corelib credit-card cross-validation data-science data-science-challenges data-science-competition ensemble feature-engineering feature-extraction feature-selection gradient-boosting-machine random-forest sklearn svm xgb-classifier xgboost

Last synced: 08 May 2025

https://github.com/achoum/arduino-tensorflow-decision-forests

Run a TensorFlow Decision Forests on an Ardwino.

arduino decision-trees gradient-boosting-machine machine-learning random-forest tensorflow tensorflow-decision-forests

Last synced: 08 May 2026

https://github.com/ekagra-ranjan/Analyze-This-17

Analyze This' 17, American Express Data Science Competition ('Outstanding Performer')

american-express americanexpress analyze-this boosting-algorithm corelib credit-card cross-validation data-science data-science-challenges data-science-competition ensemble feature-engineering feature-extraction feature-selection gradient-boosting-machine random-forest sklearn svm xgb-classifier xgboost

Last synced: 08 May 2025

https://github.com/ekagra-ranjan/GS-Quantify-17

GS-Quantify' 17, Goldman Sachs Data Science Competition

boosting-algorithm cross-validation data-science data-science-challenges data-science-competition ensemble feature-engineering feature-extraction feature-selection goldmann-sachs gradient-boosting-machine gs-quantify gsquantify linear-regression sklearn xgb-classifier xgboost

Last synced: 08 May 2025

https://github.com/adistrim/truthfulnessclassifier

An experimental machine learning project 🤖📖

gradient-boosting-machine logistic-regression machine-learning mlp-classifier naive-bayes random-forest svm-classifier

Last synced: 28 Oct 2025

https://github.com/noveliayuki4982/ml-root_finder

Project that trains different ML models to find the best one at finding the root of a sentence given a free tree.

artificial-intelligence gaussian-mixture-models gradient-boosting-machine jupyter-notebook machine-learning natural-language-understanding python python3 random-forest sklearn-library supervised-machine-learning

Last synced: 28 Jun 2025

https://github.com/antidigest/pumpitup

Pump It Up: Data Mining the Water Table

gradient-boosting-machine lightgbm machine-learning svm-classifier xgboost

Last synced: 25 Mar 2025

https://github.com/kwokhing/wids-datathon-patient-survival

A challenge to create a model that uses data from the first 24 hours of intensive care to predict patient survival

feature-engineering gradient-boosting-machine imputation kaggle lightgbm machine-learning

Last synced: 01 May 2026

https://github.com/jeus0522/housing

An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.

data-science gradient-boosting-machine housing-prices kaggle kaggle-competition machine-learning php regression

Last synced: 06 May 2026

https://github.com/sh1ng/arboretum_benchmark

arboretum benchmark gpu-vs-cpu gradient-boosting-machine lightgbm xgboost

Last synced: 30 Mar 2025