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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

42.8M 28K 9K
Nixtla
mlforecast

Scalable machine 🤖 learning for time series forecasting.

978K 1K 125
ray-project
xgboost-ray

Distributed XGBoost on Ray

730K 154 35
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

427K 28K 9K
neptune-ai
neptune

📘 The experiment tracker for foundation model training

206K 622 75
kserve
kserve

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

114K 5K 1K
skforecast
skforecast

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

103K 1K 187
parrt
dtreeviz

A python library for decision tree visualization and model interpretation.

98K 3K 340
neptune-ai
neptune-client

📘 The experiment tracker for foundation model training

57K 622 75
mars-project
pymars

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

51K 3K 324
kubeflow
kubeflow-training

Distributed AI Model Training and LLM Fine-Tuning on Kubernetes

31K 2K 948
linkedin
fasttreeshap

Fast SHAP value computation for interpreting tree-based models

30K 555 38
AutoViML
autoviz

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

19K 2K 214
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

17K 3K 261
kubeflow
kubeflow-trainer-api

Distributed AI Model Training and LLM Fine-Tuning on Kubernetes

16K 2K 948
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 677 99
xorbitsai
xorbits

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

10K 1K 69
mljar
mljar-supervised

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

10K 3K 432
softwareag
nyoka

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

8K 190 44
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 546 104
SimonBlanke
hyperactive

A unified interface for optimization algorithms and experiments

6K 552 75
polyaxon
rhea

Machine learning operator & controller for Kubernetes

5K 94 8
stefanoviana
deepalpha-freqai

AI crypto trading bot + TradingView webhook for Bybit, Binance, OKX, Gate.io, KuCoin, Bitget. 70.9% accuracy, pump scanner. Free trial.

4K 8 2
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