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20 gboost search results
  • 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

  • Scout Monitoring

    Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.

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  • ngboost

    Natural Gradient Boosting for Probabilistic Prediction

  • xgboost-survival-embeddings

    Improving XGBoost survival analysis with embeddings and debiased estimators

  • Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-learn

    Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt

  • exgboost

    Elixir bindings to the XGBoost C API (https://xgboost.readthedocs.io/en/stable/c.html) using Native Implemented Functions (NIFs)

  • xgboost_ray

    Distributed XGBoost on Ray

  • secure-xgboost

    Secure collaborative training and inference for XGBoost.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • XGBoost

    High performance gradient boosting for Ruby

  • federated-xgboost

    Federated gradient boosted decision tree learning

  • xgboost_explainer

    A tool for analyzing feature importance of xgboost model. idea came from R version xgboostExplainer

  • xgboost-node

    Run XGBoost model and make predictions in Node.js

  • dp-xgboost

  • xgboost-haskell

    XGBoost for Haskell via FFI.

  • scicloj.ml.xgboost

    A xgboost plugin for scicloj.ml

  • H2O

    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

    Standardized Serverless ML Inference Platform on Kubernetes

  • mljar-supervised

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

  • dtreeviz

    A python library for decision tree visualization and model interpretation.

  • 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

  • eli5

    A library for debugging/inspecting machine learning classifiers and explaining their predictions

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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