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Xgboost Python Packages

Python packages with the GitHub topic xgboost. Sorted by relevance, with stars and monthly downloads.
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

43.1M 28K 9K
ray-project
xgboost-ray

Distributed XGBoost on Ray

788K 154 35
Nixtla
mlforecast

Scalable machine 🤖 learning for time series forecasting.

649K 1K 126
dmlc
xgboost-cpu

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

484K 28K 9K
neptune-ai
neptune

📘 The experiment tracker for foundation model training

179K 623 75
kserve
kserve

Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes

113K 5K 1K
skforecast
skforecast

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

95K 1K 189
parrt
dtreeviz

A python library for decision tree visualization and model interpretation.

91K 3K 340
neptune-ai
neptune-client

📘 The experiment tracker for foundation model training

42K 623 75
kubeflow
kubeflow-training

Distributed AI Model Training and LLM Fine-Tuning on Kubernetes

37K 2K 956
linkedin
fasttreeshap

Fast SHAP value computation for interpreting tree-based models

29K 557 37
AutoViML
autoviz

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

26K 2K 214
mars-project
pymars

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

21K 3K 324
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

16K 3K 261
kubeflow
kubeflow-trainer-api

Distributed AI Model Training and LLM Fine-Tuning on Kubernetes

14K 2K 951
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.

10K 678 99
softwareag
nyoka

Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).

9K 190 44
mljar
mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

9K 3K 434
xorbitsai
xorbits

Scalable Python DS & ML, in an API compatible & lightning fast way.

7K 1K 69
cerlymarco
shap-hypetune

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

7K 584 73
AutoViML
autoviml

Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

7K 548 104
erdogant
hgboost

hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating the results on an independent validation set. hgboost can be applied for classification and regression tasks.

6K 67 18
erdogant
treeplot

Plot tree based machine learning models

6K 11 2
SimonBlanke
hyperactive

A unified interface for optimization algorithms and experiments

6K 552 74
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