XGBoost
XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable.
- Open Source
XGBoost Alternatives [Page 2]
The best XGBoost alternatives based on verified products, community votes, reviews and other factors.
Latest update:
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/doxel-alternatives
Doxel offers Project Controls powered by AI, allowing you to monitor performance on a continuous basis.
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/aws-personalize-alternatives
Real-time personalization and recommendation engine in AWS
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Try for free
DCIM software reinvented.
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/amazon-forecast-alternatives
Accurate time-series forecasting service, based on the same technology used at Amazon.com. No machine learning experience required.
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/zero-incident-framework-alternatives
Zero Incident Framework is a prominent AIOps Platform designed for streamlined business outcomes.
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/cuda-alternatives
Select Target Platform Click on the green buttons that describe your target platform.
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/daisee-alternatives
Daisee is a platform that equips you with AI voice analytics and contact center quality assurance to gain a comprehensive understanding of the needs of customers.
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/h2o-ai-alternatives
Democratizing Generative AI. Own your models: generative and predictive. We bring both super powers together with h2oGPT.
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/nltk-alternatives
NLTK is a platform for building Python programs to work with human language data.
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/h2o-driverless-airstudio-alternatives
H2O Driverless AIRStudio is the best-in-class platform powered by Machine Learning.
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/python-recsys-alternatives
python-recsys is a python library for implementing a recommender system.
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/golearn-alternatives
GoLearn is a machine learning library for Go that implements the scikit-learn interface of Fit/Predict.
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/predictionio-alternatives
Apache PredictionIO™ Open Source Machine Learning Server.
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/project-oxford-alternatives
A catalogue of artificial intelligence APIs by Microsoft
