Topic: xgboost Goto Github

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dmlc / xgboost
xgboost,Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Organization: dmlc
Home Page: https://xgboost.readthedocs.io/
gbdt gbrt gbm distributed-systems xgboost machine-learning

mingchaozhu / deeplearning
xgboost,Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
User: mingchaozhu
python deep-learning machine-learning xgboost ensemble-learning bayesian regularization

kserve / kserve
xgboost,Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
Organization: kserve
Home Page: https://kserve.github.io/website/
knative machine-learning model-interpretability model-serving istio kubeflow artificial-intelligence tensorflow pytorch xgboost

alibaba / alink
xgboost,Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
Organization: alibaba
machine-learning flink classification clustering regression graph-algorithms xgboost recommender recommender-system feature-engineering

mljar / mljar-supervised
xgboost,Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Organization: mljar
Home Page: https://mljar.com
automl machine-learning mljar data-science scikit-learn hyperparameter-optimization feature-engineering xgboost random-forest neural-network

parrt / dtreeviz
xgboost,A python library for decision tree visualization and model interpretation.
User: parrt
machine-learning scikit-learn python data-science xgboost decision-trees visualization random-forest model-interpretation

bayeswitnesses / m2cgen
xgboost,Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
Organization: bayeswitnesses
machine-learning scikit-learn statistical-learning xgboost lightgbm java python c javascript go

teamhg-memex / eli5
xgboost,A library for debugging/inspecting machine learning classifiers and explaining their predictions
Organization: teamhg-memex
Home Page: http://eli5.readthedocs.io
scikit-learn machine-learning xgboost lightgbm crfsuite inspection explanation nlp data-science python

mars-project / mars
xgboost,Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
Organization: mars-project
Home Page: https://mars-project.readthedocs.io
python numpy tensor pandas machine-learning scikit-learn tensorflow pytorch xgboost lightgbm

jolibrain / deepdetect
xgboost,Deep Learning API and Server in C++14 support for PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
Organization: jolibrain
Home Page: https://www.deepdetect.com/
deep-learning machine-learning caffe xgboost rest-api tsne object-detection image-segmentation image-classification neural-nets

benedekrozemberczki / awesome-decision-tree-papers
xgboost,A collection of research papers on decision, classification and regression trees with implementations.
User: benedekrozemberczki
decision-tree decision-tree-classifier gradient-boosting gradient-boosting-machine regression-tree cart machine-learning machine-learning-research random-forest xgboost

kubeflow / trainer
xgboost,Distributed AI Model Training and LLM Fine-Tuning on Kubernetes
Organization: kubeflow
Home Page: https://www.kubeflow.org/docs/components/training
ai distributed fine-tuning gpu huggingface jax kubeflow kubernetes llm machine-learning

szilard / benchm-ml
xgboost,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.).
User: szilard
machine-learning data-science r python gradient-boosting-machine random-forest deep-learning xgboost h2o spark

autoviml / autoviz
xgboost,Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
User: autoviml
visualization python3 python xgboost automl scikit-learn machine-learning tableau automl-algorithms tpot

minimaxir / automl-gs
xgboost,Provide an input CSV and a target field to predict, generate a model + code to run it.
User: minimaxir
python tensorflow keras xgboost machine-learning automl

climbsrocks / auto_ml
xgboost,[UNMAINTAINED] Automated machine learning for analytics & production
User: climbsrocks
Home Page: http://auto-ml.readthedocs.io
machine-learning data-science automated-machine-learning gradient-boosting scikit-learn python machine-learning-pipelines machine-learning-library production-ready automl

axelderomblay / mlbox
xgboost,MLBox is a powerful Automated Machine Learning python library.
User: axelderomblay
Home Page: https://mlbox.readthedocs.io/en/latest/
machine-learning auto-ml kaggle deep-learning stacking pipeline optimization preprocessing encoding prediction

skforecast / skforecast
xgboost,Time series forecasting with machine learning models
Organization: skforecast
Home Page: https://skforecast.org
forecasting scikit-learn machine-learning python data-science exogenous-predictors time-series direct-forecasting multi-series-forecasting multi-step-forecasting

xorbitsai / xorbits
xgboost,Scalable Python DS & ML, in an API compatible & lightning fast way.
Organization: xorbitsai
Home Page: https://xorbits.readthedocs.io
data-science distributed-systems numpy pandas python scalable lightgbm machine-learning ml xgboost

nixtla / mlforecast
xgboost,Scalable machine 🤖 learning for time series forecasting.
Organization: nixtla
Home Page: https://nixtlaverse.nixtla.io/mlforecast
forecast forecasting machine-learning lightgbm xgboost dask python time-series

benedekrozemberczki / awesome-gradient-boosting-papers
xgboost,A curated list of gradient boosting research papers with implementations.
User: benedekrozemberczki
gradient-boosting gradient-boosting-classifier gradient-boosting-machine gradient-boosted-trees gradient-boosting-decision-trees xgboost xgboost-algorithm catboost lightgbm random-forest

seldonio / mlserver
xgboost,An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
Organization: seldonio
Home Page: https://mlserver.readthedocs.io/en/latest/
machine-learning scikit-learn xgboost lightgbm mlflow seldon-core kfserving

the-black-knight-01 / data-science-competitions
xgboost,Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
User: the-black-knight-01
Home Page: https://interviewbubble.com
data-science-competitions data-science kaggle-competition datahack-competition machinehack-competition kaggle competition-code kaggle-winning-solutions-github kaggle-competition-solutions kaggle-competition-for-beginners

huntermcgushion / hyperparameter_hunter
xgboost,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
User: huntermcgushion
artificial-intelligence machine-learning hyperparameter-optimization hyperparameter-tuning neural-network keras scikit-learn xgboost lightgbm catboost

statmixedml / xgboostlss
xgboost,An extension of XGBoost to probabilistic modelling
User: statmixedml
Home Page: https://statmixedml.github.io/XGBoostLSS/
probabilistic-forecasts gamlss xgboost machine-learning prediction-intervals distributional-regression uncertainty-estimation multi-target-regression normalizing-flows mixture-density-model

autoviml / featurewiz
xgboost,Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.
User: autoviml
feature-engineering categorical-variables best-encoders feature-engg rfe rfecv feature-extraction feature-selection featuretools xgboost

huangcongqing / ai_competitions
xgboost,AI比赛相关信息汇总
User: huangcongqing
ai competitions xgboost lightgbm logistic sklearn sklearn-classify catboost matplotlib agg

whyzhow / kaggle-neurips---open-polymer-prediction-2025-silver-algorithm-overview
xgboost,An improved and reproducible implementation of a Silver Medal Kaggle NeurIPS Open Polymer Prediction solution, featuring SMILES canonicalization, molecular descriptors, CatBoost/XGBoost models, OOF stacking, and optional PyTorch Geometric GNNs.
User: whyzhow
ffv gnn kaggle python xgboost

neptune-ai / neptune-client
xgboost,📘 The experiment tracker for foundation model training
Organization: neptune-ai
Home Page: https://neptune.ai
pytorch keras lightgbm xgboost optuna tensorflow mlops ml dl rl

kossisoroyce / timber
xgboost,Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code. One command to load, one command to serve. 336x faster than Python inference.
User: kossisoroyce
Home Page: https://pypi.org/project/timber-compiler/
c99 catboost compiler decision-trees gradient-boosting inference lightgbm machine-learning mlops model-serving

openscoring / openscoring
xgboost,REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models
Organization: openscoring
api real-time pmml r scikit-learn apache-spark xgboost lightgbm

cerlymarco / shap-hypetune
xgboost,A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
User: cerlymarco
parameter-tuning hyperparameter-optimization feature-selection model-selection xgboost lightgbm shap

hczheng / rong360
xgboost,用户贷款风险预测
User: hczheng
xgboost data-mining python

western-oc2-lab / intrusion-detection-system-using-machine-learning
xgboost,Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
Organization: western-oc2-lab
machine-learning random-forest decision-tree xgboost bayesian-optimization hyperparameter-optimization hpo kmeans python-examples intrusion-detection

linkedin / fasttreeshap
xgboost,Fast SHAP value computation for interpreting tree-based models
Organization: linkedin
explainable-ai interpretability lightgbm machine-learning random-forest shap xgboost

autoviml / auto_viml
xgboost,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
User: autoviml
automl auto-viml machine-learning python3 python scikit-learn xgboost tpot autosklearn autokeras

hyperactive-project / hyperactive
xgboost,A unified interface for optimization algorithms and experiments
Organization: hyperactive-project
Home Page: https://hyperactive.readthedocs.io/en/latest/#
hyperparameter-optimization scikit-learn machine-learning python data-science parameter-tuning xgboost keras deep-learning bayesian-optimization

mljar / supertree
xgboost,Visualize decision trees in Python
Organization: mljar
Home Page: https://mljar.com/supertree
decision-trees lightgbm random-forest xgboost

h2oai / mli-resources
xgboost,H2O.ai Machine Learning Interpretability Resources
Organization: h2oai
machine-learning python jupyter-notebooks interpretability data-science data-mining h2o mli xai fatml

spotify / featran
xgboost,A Scala feature transformation library for data science and machine learning
Organization: spotify
Home Page: https://spotify.github.io/featran
scala spark scio data scalding flink ml algebird breeze xgboost

dmitryikh / leaves
xgboost,pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks
User: dmitryikh
machine-learning lightgbm xgboost decision-trees boosting go golang

minerva-ml / open-solution-home-credit
xgboost,Open solution to the Home Credit Default Risk challenge :house_with_garden:
Organization: minerva-ml
Home Page: https://www.kaggle.com/c/home-credit-default-risk
machine-learning deep-learning kaggle pipeline feature-engineering reproducible-experiments reproducibility pipeline-framework lightgbm xgboost

elucideye / drishti
xgboost,Real time eye tracking for embedded and mobile devices.
Organization: elucideye
hunter ios android gradient-boosting object-detection face-detection xgboost eye-tracking acf face-tracking

yzkang / my-data-competition-experience
xgboost,本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢
User: yzkang
machine-learning kaggle-competition data-science tianchi-competition xgboost lightgbm catboost feature-engineering hyperparameter-optimization model-selection

maxim5 / time-series-machine-learning
xgboost,Machine learning models for time series analysis
User: maxim5
python machine-learning deep-learning neural-network recurrent-neural-networks time-series time-series-prediction tensorflow xgboost statistics

datacanvasio / hypergbm
xgboost,A full pipeline AutoML tool for tabular data
Organization: datacanvasio
Home Page: https://hypergbm.readthedocs.io/
automl gbm fullpipeline xgboost lightgbm catboost pseudo-labeling adversarial-validation semi-supervised-learning datacleaning

komiya-atsushi / xgboost-predictor-java
xgboost,Pure Java implementation of XGBoost predictor for online prediction tasks.
User: komiya-atsushi
java xgboost machine-learning

aws-solutions-library-samples / fraud-detection-using-machine-learning
xgboost,Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker
Organization: aws-solutions-library-samples
Home Page: https://aws.amazon.com/solutions/guidance/fraud-detection-using-machine-learning-on-aws/
fraud-detection sagemaker aws-sagemaker sagemaker-example machine-learning deep-learning xgboost

wepe / tgboost
xgboost,Tiny Gradient Boosting Tree
User: wepe
boosted-trees gradient-boosting-machine machine-learning xgboost sliq

cmunch1 / nba-prediction
xgboost,A project to deploy an online app that predicts the win probability for each NBA game every day. Demonstrates end-to-end Machine Learning deployment.
User: cmunch1
Home Page: https://cmunch1.github.io/nba-prediction/
machine-learning python pandas optuna scikit-learn lgbm xgboost github-actions streamlit-webapp webscraping