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
dmlc / xgboost
h2oai / h2o-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
kserve / kserve
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
mljar / mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
jolibrain / deepdetect
Deep Learning Server and CLI for Torch and TensorRT
kubeflow / trainer
Distributed AI Model Training and LLM Fine-Tuning on Kubernetes
skforecast / skforecast
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
Nixtla / mlforecast
Scalable machine 🤖 learning for time series forecasting.
SeldonIO / MLServer
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
StatMixedML / XGBoostLSS
An extension of XGBoost to probabilistic modelling
00200200 / repro-lens
Static reproducibility checks, experiment replay, and verification for ML pipelines.