gradient-boosting-machine

There are 3 repositories under gradient-boosting-machine topic.

awesome-decision-tree-papers
benedekrozemberczki / awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
decision-tree decision-tree-classifier gradient-boosting gradient-boosting-machine regression-tree cart machine-learning machine-learning-research random-forest xgboost lightgbm catboost classification-trees decision-tree-model decision-tree-learning classification-model classifier tree-ensemble ensemble-learning statistical-learning
Language:Python 2332
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.).
machine-learning data-science r python gradient-boosting-machine random-forest deep-learning xgboost h2o spark
Language:R 1864
awesome-gradient-boosting-papers
benedekrozemberczki / awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
gradient-boosting gradient-boosting-classifier gradient-boosting-machine gradient-boosted-trees gradient-boosting-decision-trees xgboost xgboost-algorithm catboost lightgbm random-forest decision-tree classification-algorithm classification-trees machine-learning deep-learning h2o classifier classification-tree adaboost boosting
Language:Python 980
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
Language:Jupyter Notebook 661
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
decision-trees gradient-boosting gradient-boosting-machine random-forest adaboost id3 c45-trees cart regression-tree gbm data-mining gradient-boosting-machines data-science kaggle gbdt gbrt machine-learning python categorical-features
Language:Python 443
ledell / useR-machine-learning-tutorial
useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
machine-learning deep-learning random-forest gradient-boosting-machine tutorial data-science ensemble-learning r
Language:Jupyter Notebook 400
mdabros / SharpLearning
Machine learning for C# .Net
machine-learning csharp decision-trees adaboost gradient-boosting-machine random-forest neural-nets deep-learning ensemble-learning cross-validation metrics dotnet machine learning opensource
Language:C# 373
wepe / tgboost
Tiny Gradient Boosting Tree
boosted-trees gradient-boosting-machine machine-learning xgboost sliq
Language:Java 320
szilard / GBM-perf
Performance of various open source GBM implementations
machine-learning gradient-boosting-machine gbm h2oai xgboost lightgbm benchmark
Language:HTML 210
qiyiping / gbdt
machine-learning boosting-algorithms gbm gradient-boosting gradient-boosting-machine gbdt gbrt gradient-boosting-decision-trees
Language:C++ 93
sh1ng / arboretum
Gradient Boosting powered by GPU(NVIDIA CUDA)
arboretum gpu machine-learning cuda gradient-boosting-machine gradient-boosting python
Language:Cuda 64
serengil / decision-trees-for-ml
Building Decision Trees From Scratch In Python
decision-tree gradient-boosting gradient-boosting-machine boosting bagging id3 c45 cart regression-trees lightgbm xgboost random-forest machine-learning gbm adaboost
Language:Jupyter Notebook 61
WLOGSolutions / telco-customer-churn-in-r-and-h2o
Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)
r h2o showcase machine-learning grid-search gradient-boosting-machine h2oai rsuite churn-prediction
Language:R 58
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
Language:PHP 46
yubin-park / bonsai-dt
Programmable Decision Tree Framework
machine-learning machine-learning-algorithms boosting-algorithms boosting-tree gradient-boosting-machine decision-tree gbdt
Language:Python 34
BoostedFactorization
benedekrozemberczki / BoostedFactorization
An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).
deepwalk l-ensnmf nmf boosting gradient-boosting-machine boosting-machine nmf-decomposition matrix-factorization sklearn boostedne network-embedding node-embedding node2vec word2vec dimensionality-reduction unsupervised-learning machine-learning data-mining factorization-machine gradient-boosting
Language:Python 33
WindQAQ / ML2017
NTUEE Machine Learning, 2017 Spring
ntu machine-learning linear-regression logistic-regression gradient-boosting-machine svdplusplus dimensionality-reduction sentiment-classification multi-label-classification kaggle-competition svd recommendation-system
Language:Python 32
haghish / mlim
mlim: single and multiple imputation with automated machine learning
automatic-machine-learning automl data-science elastic-net extreme-gradient-boosting gbm glm gradient-boosting gradient-boosting-machine imputation imputation-algorithm imputation-methods machine-learning missing-data stack-ensemble r rstats rstats-package classimbalance multipleimputation
Language:R 25
miniboosts
rmitsuboshi / miniboosts
A collection of boosting algorithms written in Rust 🦀
boosting boosting-algorithm machine-learning adaboost rust adaboost-star corrective-erlpboost erlpboost lpboost smoothboost softboost totalboost gradient-boosting-machine gradient-boosting neural-network graph-separation-boosting
Language:Rust 25
RudreshVeerkhare / CustomXGBoost
Modified XGBoost implementation from scratch with Numpy using Adam and RSMProp optimizers.
xgboost-algorithm numpy adam-optimizer rmsprop gradient-boosting-machine implementation-of-algorithms
Language:Jupyter Notebook 24
szilard / GBM-tune
Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions
machine-learning gradient-boosting-machine gbm hyperparameter-optimization overfitting
Language:HTML 22
joymnyaga / CreditAnalytics-Loan-Prediction
A predictive model that uses several machine learning algorithms to predict the eligibility of loan applicants based on several factors
python credit-risk machine-learning logistic-regression naive-bayes-classification random-forest decision-tree support-vector-machine gradient-boosting-machine knn-classification predictive-analytics
Language:Python 19
navdeep-G / interpretable-ml
Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
machine-learning machine-learning-interpretability interpretable-machine-learning python fatml xai gradient-boosting-machine decision-trees data-science fairness interpretability iml accountability transparency data-mining interpretable-ml interpretable interpretable-ai lime
Language:Jupyter Notebook 19
StatMixedML / Py-BoostLSS
An extension of Py-Boost to probabilistic modelling
distributional-regression gamlss machine-learning multi-target-regression probabilistic-modeling quantile-estimation uncertainty-estimation gradient-boosting-machine
Language:Python 19
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
matlab octave r gradient-boosting-machine model ensemble-learning metamodel neural-network svm
Language:Jupyter Notebook 18
serengil / h2o-ai-101
This repository covers h2o ai based implementations
h2o h2oai gbm gradient-boosting gradient-boosting-machine gradient-boosting-decision-trees automl auto-ml machine-learning deep-learning
Language:Jupyter Notebook 18
bgreenwell / MLDay18
Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18
machine-learning r random-forest gradient-boosting-machine decision-trees partial-dependence-plot variable-importance-plots
Language:R 16
xxl4tomxu98 / autoencoder-feature-extraction
Use auto encoder feature extraction to facilitate classification model prediction accuracy using gradient boosting models
autoencoderscompression autoencoder-neural-network sequence-to-sequence variational-autoencoders convolutional-autoencoder autoencoder-denoising autoencoder-classification autoencoder-latent-layer gradient-boosting-machine light-gradient-boosting-machine xgboost-classifier histgram-gradient-boosting
Language:Jupyter Notebook 11
tugrulhkarabulut / Tree-Based-Methods
Implementation of Decision Tree and Ensemble Learning algorithms in Python with numpy
machine-learning tree tree-based-methods adaboost gradient-boosting-machine gradient-boosting random-forest
Language:Jupyter Notebook 10
drmerlot / startml
R package for automatic hyper parameter tuning and ensembles with deep learning, gradient boosting machines, and random forests. Powered by h2o.
machine-learning h2o ensemble deep-learning gradient-boosting-machine random-forest r automatic tsne tsne-algorithm tsne-plot deep-neural-networks regression regression-algorithms classification classification-algorithm binary-classification ensembles devtools boost
Language:R 7
leffff / stackboost
Open source gradient boosting library
boosting ensemble-learning decision-tree gradient-boosting regression-models classification-model python pypi data-science data-analysis gradient-boosting-machine gradient-boosting-regressor gradient-boosting-classifier
Language:Python 7
RachanaJayaram / MalwarePrediction
Using machine learning models to predict the probability of a windows system getting infected by various families of malware, based on different properties of that system.
malware dataset malware-prediction lgbm gradient-boosting-machine
Language:Jupyter Notebook 7
koalaverse / machine-learning-in-R
A bookdown version of the UseR 2016 machine learning tutorial given by Erin LeDell
machine-learning h2o random-forest gradient-boosting-machine deep-learning
Language:CSS 6
fahd09 / kaggle_competitions_old
My contributions in Kaggle, mostly in a notebook format. Just for fun.
kaggle kaggle-competition machine-learning social-network-analysis xgboost gradient-boosting-machine
Language:Jupyter Notebook 5
Mephistopheles-0 / Performance-Prediction-with-Wearable-Tech-Data
analyze data from accelerometers placed on the belt, forearm, arm, and dumbbell of six participants. These individuals were tasked with executing barbell lifts, both correctly and incorrectly, in five distinct manners
gradient-boosting-machine machine-learning random-forest sports
Language:HTML 4
Mostafa-Korashy / ML-based-Frequency-Offset-Estimation-in-NR
This repo contains a dataset for the problem of carrier frequency offset (CFO) estimation for 5G NR.
5g 5g-nr artificial-intelligence dataset datasets ensemble-learning gradient-boosting-machine machine-learning wireless-communication
4

gradient-boosting-machine

benedekrozemberczki / awesome-decision-tree-papers

szilard / benchm-ml

benedekrozemberczki / awesome-gradient-boosting-papers

jphall663 / interpretable_machine_learning_with_python

serengil / chefboost

ledell / useR-machine-learning-tutorial

mdabros / SharpLearning

wepe / tgboost

szilard / GBM-perf

qiyiping / gbdt

sh1ng / arboretum

serengil / decision-trees-for-ml

WLOGSolutions / telco-customer-churn-in-r-and-h2o

RubixML / Housing

yubin-park / bonsai-dt

benedekrozemberczki / BoostedFactorization

WindQAQ / ML2017

haghish / mlim

rmitsuboshi / miniboosts

RudreshVeerkhare / CustomXGBoost

szilard / GBM-tune

joymnyaga / CreditAnalytics-Loan-Prediction

navdeep-G / interpretable-ml

StatMixedML / Py-BoostLSS

gtesei / fast-furious

serengil / h2o-ai-101

bgreenwell / MLDay18

xxl4tomxu98 / autoencoder-feature-extraction

tugrulhkarabulut / Tree-Based-Methods

drmerlot / startml

leffff / stackboost

RachanaJayaram / MalwarePrediction

koalaverse / machine-learning-in-R

fahd09 / kaggle_competitions_old

Mephistopheles-0 / Performance-Prediction-with-Wearable-Tech-Data

Mostafa-Korashy / ML-based-Frequency-Offset-Estimation-in-NR