Software Alternatives & Reviews

XGBoost

XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable.

XGBoost Alternatives

The best XGBoost alternatives based on verified products, community votes, reviews and other factors.
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  1. scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

  2. Do you want to do machine learning using Python, but you’re having trouble getting started? In this post, you will complete your first machine learning project using Python.

  3. Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.

  4. WEKA is a set of powerful data mining tools that run on Java.

  5. Real-time personalization and recommendation engine in AWS

  6. Accurate time-series forecasting service, based on the same technology used at Amazon.com. No machine learning experience required.

  7. TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

  8. python-recsys is a python library for implementing a recommender system.

  9. GoLearn is a machine learning library for Go that implements the scikit-learn interface of Fit/Predict.

  10. Crab is a Python framework for building recommender engines.

  11. Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

  12. Open source deep learning platform that provides a seamless path from research prototyping to...

  13. TFlearn is a modular and transparent deep learning library built on top of Tensorflow.

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This list was published on | Author: | Publisher: SaaSHub
Categories: Data Dashboard, Data Science And Machine Learning, Technical Computing