xgboost

There are 24 repositories under xgboost topic.

dmlc / 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
distributed-systems gbdt gbm gbrt machine-learning xgboost
Language:C++ 25834
MingchaoZhu / DeepLearning
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
bayesian deep-learning ensemble-learning machine-learning python regularization xgboost
Language:Python 6229
alibaba / Alink
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
apriori classification clustering data-mining feature-engineering flink flink-machine-learning flink-ml fm graph-algorithms graph-embedding kafka machine-learning recommender recommender-system regression statistics word2vec xgboost
Language:Java 3547
kserve / kserve
Standardized Serverless ML Inference Platform on Kubernetes
artificial-intelligence hacktoberfest hacktoberfest2023 istio k8s knative kserve kubeflow kubeflow-pipelines kubernetes machine-learning mlops mlops-community model-interpretability model-serving pytorch service-mesh sklearn tensorflow xgboost
Language:Python 3311
mljar-supervised
mljar / mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
automated-machine-learning automatic-machine-learning automl catboost data-science decision-tree ensemble feature-engineering hyper-parameters hyperparameter-optimization lightgbm machine-learning mljar models-tuning neural-network random-forest scikit-learn shap tuning-algorithm xgboost
Language:Python 2976
parrt / dtreeviz
A python library for decision tree visualization and model interpretation.
data-science decision-trees machine-learning model-interpretation python random-forest scikit-learn visualization xgboost
Language:Jupyter Notebook 2892
BayesWitnesses / m2cgen
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
c csharp dartlang go haskell java javascript lightgbm lightning machine-learning php python r ruby rust scikit-learn statistical-learning statsmodels xgboost
Language:Python 2751
TeamHG-Memex / eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
crfsuite data-science explanation inspection lightgbm machine-learning nlp python scikit-learn xgboost
Language:Jupyter Notebook 2742
mars-project / mars
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
dask dataframe joblib lightgbm machine-learning numpy pandas python pytorch ray scikit-learn statsmodels tensor tensorflow xgboost
Language:Python 2686
jolibrain / deepdetect
Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
deep-learning machine-learning caffe xgboost rest-api tsne object-detection image-segmentation image-classification neural-nets gpu ncnn tensorrt time-series pytorch tensorrt-conversion tensorrt-inference image-search
Language:C++ 2509
awesome-decision-tree-papers
benedekrozemberczki / awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
cart catboost classification-model classification-trees classifier decision-tree decision-tree-classifier decision-tree-learning decision-tree-model ensemble-learning gradient-boosting gradient-boosting-machine lightgbm machine-learning machine-learning-research random-forest regression-tree statistical-learning tree-ensemble xgboost
Language:Python 2355
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
Language:R 1869
minimaxir / automl-gs
Provide an input CSV and a target field to predict, generate a model + code to run it.
python tensorflow keras xgboost machine-learning automl
Language:Python 1845
AutoViML / AutoViz
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
visualization python3 python xgboost automl scikit-learn machine-learning tableau automl-algorithms tpot auto-sklearn automated-machine-learning
Language:Python 1675
ClimbsRocks / auto_ml
[UNMAINTAINED] Automated machine learning for analytics & production
analytics artificial-intelligence automated-machine-learning automl data-science deep-learning deeplearning feature-engineering gradient-boosting hyperparameter-optimization keras lightgbm machine-learning machine-learning-library machine-learning-pipelines production-ready python scikit-learn tensorflow xgboost
Language:Python 1641
kubeflow / training-operator
Distributed ML Training and Fine-Tuning on Kubernetes
ai distributed fine-tuning gpu huggingface jax kubeflow kubernetes llm machine-learning mlops python pytorch tensorflow xgboost
Language:Go 1529
MLBox
AxeldeRomblay / MLBox
MLBox is a powerful Automated Machine Learning python library.
machine-learning auto-ml kaggle deep-learning stacking pipeline optimization preprocessing encoding prediction distributed xgboost drift classification regression lightgbm keras automated-machine-learning automl data-science
Language:Python 1488
xorbitsai / xorbits
Scalable Python DS & ML, in an API compatible & lightning fast way.
data-science distributed-systems lightgbm machine-learning ml numpy pandas python scalable xgboost
Language:Python 1067
skforecast
JoaquinAmatRodrigo / skforecast
Time series forecasting with machine learning models
forecasting scikit-learn machine-learning python data-science exogenous-predictors time-series direct-forecasting multi-series-forecasting multi-step-forecasting backtesting-forecasters quantile-forecasting multiple-time-series-forecasting weighted-time-series-forecasting arima sarimax lightgbm probabilistic-forecasting xgboost autoregressive-forecasting
Language:Jupyter Notebook 1012
awesome-gradient-boosting-papers
benedekrozemberczki / awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
adaboost boosting catboost classification-algorithm classification-tree classification-trees classifier decision-tree deep-learning gradient-boosted-trees gradient-boosting gradient-boosting-classifier gradient-boosting-decision-trees gradient-boosting-machine h2o lightgbm machine-learning random-forest xgboost xgboost-algorithm
Language:Python 992
Nixtla / mlforecast
Scalable machine 🤖 learning for time series forecasting.
dask forecast forecasting lightgbm machine-learning python time-series xgboost
Language:Python 810
the-black-knight-01 / Data-Science-Competitions
Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
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 kaggle-solutions-github analytics-vidhya data-science-competition xgboost machine-learning competitive-data-science-github
797
hyperparameter_hunter
HunterMcGushion / hyperparameter_hunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
artificial-intelligence machine-learning hyperparameter-optimization hyperparameter-tuning neural-network keras scikit-learn xgboost lightgbm catboost deep-learning data-science python rgf sklearn optimization experimentation feature-engineering ai ml
Language:Python 701
SeldonIO / MLServer
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
machine-learning scikit-learn xgboost lightgbm mlflow seldon-core kfserving
Language:Python 670
HuangCongQing / AI_competitions
AI比赛相关信息汇总
agg ai catboost competitions lightgbm logistic matplotlib sklearn sklearn-classify xgboost
597
openscoring / openscoring
REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models
apache-spark api lightgbm pmml r real-time scikit-learn xgboost
Language:Java 577
AutoViML / featurewiz
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.
feature-engineering categorical-variables best-encoders feature-engg rfe rfecv feature-extraction feature-selection featuretools xgboost
Language:Python 566
neptune-ai / neptune-client
📘 The experiment tracker for foundation model training
pytorch keras lightgbm xgboost optuna tensorflow mlops ml dl rl monitoring versioning visualization comparison logging logger learning machine foundation llm
Language:Python 565
hczheng / Rong360
用户贷款风险预测
data-mining python xgboost
Language:Jupyter Notebook 558
cerlymarco / shap-hypetune
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
parameter-tuning hyperparameter-optimization feature-selection model-selection xgboost lightgbm shap
Language:Jupyter Notebook 553
StatMixedML / XGBoostLSS
An extension of XGBoost to probabilistic modelling
distributional-regression gamlss machine-learning mixture-density-model multi-target-regression normalizing-flows prediction-intervals probabilistic-forecasts uncertainty-estimation xgboost
Language:Python 532
AutoViML / Auto_ViML
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
automl auto-viml machine-learning python3 python scikit-learn xgboost tpot autosklearn autokeras automated-machine-learning automl-algorithms
Language:Python 514
linkedin / FastTreeSHAP
Fast SHAP value computation for interpreting tree-based models
explainable-ai interpretability lightgbm machine-learning random-forest shap xgboost
Language:Python 503
Hyperactive
SimonBlanke / Hyperactive
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
automated-machine-learning bayesian-optimization data-science deep-learning feature-engineering hyperactive hyperparameter-optimization keras machine-learning model-selection neural-architecture-search optimization parallel-computing parameter-tuning python pytorch scikit-learn xgboost
Language:Python 496
h2oai / mli-resources
H2O.ai Machine Learning Interpretability Resources
machine-learning python jupyter-notebooks interpretability data-science data-mining h2o mli xai fatml transparency accountability fairness xgboost machine-learning-interpretability iml interpretable-machine-learning interpretable-ml interpretable-ai explainable-ml
Language:Jupyter Notebook 482
spotify / featran
A Scala feature transformation library for data science and machine learning
scala spark scio data scalding flink ml algebird breeze xgboost tensorflow
Language:Scala 467