Alternatives and similar repositories for xgboost

Users that are interested in xgboost are comparing it to the libraries listed below

• h2oai / driverlessai-tutorials
  H2OAI Driverless AI Code Samples and Tutorials
  ☆38Updated last year
• h2oai / tutorials
  This is a repo for all the tutorials put out by H2O.ai. This includes learning paths for Driverless AI, H2O-3, Sparkling Water and more..…
  ☆134Updated last year
• JohnSnowLabs / spark-nlp-streamlit
  Spark NLP for Streamlit
  ☆15Updated 4 years ago
• omegaml / omegaml
  MLOps simplified. One-stop AI delivery platform, all the features you need.
  ☆106Updated last week
• FavioVazquez / ds-optimus
  How to do data science with Optimus, Spark and Python.
  ☆19Updated 6 years ago
• h2oai / app-consumer-loan
  ☆44Updated 7 years ago
• brohrer / cottonwood
  A flexible neural network framework for running experiments and trying ideas.
  ☆82Updated 5 years ago
• woobe / h2o_tutorials
  Slides and code examples for H2O tutorials at various events
  ☆56Updated 8 years ago
• MaartenGr / ML-API
  Guide on creating an API for serving your ML model
  ☆65Updated 3 years ago
• saturncloud / saturn-cloud-examples
  ☆19Updated 4 years ago
• linkedin / LiFT
  The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning wo…
  ☆173Updated 3 weeks ago
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆38Updated 6 years ago
• weehyong / MLScore
  Know your ML Score based on Sculley's paper
  ☆34Updated 6 years ago
• mlflow / mlflow-apps
  MLflow App Library
  ☆77Updated 7 years ago
• EthicalML / state-of-mlops-2020
  ☆59Updated 4 years ago
• Ashton-Sidhu / aethos
  Automated Data Science and Machine Learning library to optimize workflow.
  ☆105Updated 2 years ago
• AileenNielsen / OReillyHealthcareData
  ☆39Updated 8 years ago
• FavioVazquez / deep-learning-pyspark
  Deep Learning with Apache Spark and Deep Cognition
  ☆57Updated 7 years ago
• Startupsci / data-science-notebooks
  Jupyter notebooks for learning Python and Data Science, companion to Data Science Solutions book.
  ☆37Updated 5 years ago
• augerai / a2ml
  Common API for all "second gen" AutoML APIs: Auger.AI, Google Cloud AutoML and Azure AutoML
  ☆41Updated last year
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 4 years ago
• HDI-Project / FeatureHub
  A collaborative feature engineering system built on JupyterHub
  ☆94Updated 6 years ago
• parrt / ml-articles
  Articles on machine learning
  ☆65Updated 3 years ago
• alexcoca / DistributedKernelShap
  ☆12Updated 5 years ago
• h2oai / perf
  Performance Benchmarks
  ☆21Updated last year
• douglas125 / AzureMLDeploy
  A very simple way to deploy any machine learning model using Azure Functions
  ☆29Updated 7 years ago
• treselle-systems / customer_churn_analysis
  In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It…
  ☆61Updated 2 years ago
• h2oai / driverlessai-recipes
  Recipes for Driverless AI
  ☆254Updated last week
• EthicalML / explainability-and-bias
  ☆103Updated 2 years ago
• h2oai / h2o-flow
  Web based interactive computing environment for H2O
  ☆142Updated last year