XGBoost
XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable. subtitle
- Open Source
XGBoost Alternatives [Page 3]
The best XGBoost alternatives based on verified products, community votes, reviews and other factors.
Latest update:
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/crab-alternatives
Crab is a Python framework for building recommender engines.
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/keras-alternatives
Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
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Try for free
Embedded Analytics built exclusively for SaaS applications.
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/microsoft-machine-learning-server-alternatives
Develop machine learning models and scripts in Python and R for on-premises deployment behind the firewall. R Server, Python server, packages, and interpreters are included.
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/theano-alternatives
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Theano features: tight integration with NumPy – Use numpy.
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/tflearn-alternatives
TFlearn is a modular and transparent deep learning library built on top of Tensorflow.
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/pytorch-alternatives
Open source deep learning platform that provides a seamless path from research prototyping to...
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/mllib-alternatives
MLlib is Spark's machine learning (ML) library that make practical machine learning scalable & provides ML Algorithms.
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/clarifai-alternatives
The World's AI
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/caffe2-alternatives
A New Lightweight, Modular, and Scalable Deep Learning Framework
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/mxnet-alternatives
MXNet is a deep learning framework.
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/opencv-alternatives
OpenCV is the world's biggest computer vision library
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/tableau-alternatives
Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
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/spell-alternatives
Deep Learning and AI accessible to everyone
