Machine Learning with PHP? Challenge accepted!

This page summarizes the projects mentioned and recommended in the original post on /r/PHP

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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SaaSHub helps you find the best software and product alternatives
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  • brainy

    A simple PHP class for machine learning

  • I made years ago a simple class for PHP for Machine Learning (called Brainy - https://github.com/danielefavi/brainy ) but I made it just for fun. In my article (linked below) I explain briefly why you shouldn't use PHP for machine learning and use Python or R instead.

  • Tensor

    Discontinued A library and extension that provides objects for scientific computing in PHP. (by RubixML)

  • There's nothing stopping PHP using the GPU other than nobody having written bindings to the appropriate libraries. Compare https://github.com/RubixML/Tensor for example, which provides bindings to LAPACK and OpenBLAS and will already provide a massive speed boost for linear algebra operations. They aren't GPU accelerated, but all* that's needed is a similar extension with (e.g.) cuBLAS bindings.

  • 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.

    InfluxDB logo
  • genetic-algorithm

    A simple framework for building and solving genetic algorithms

  • Yeah agreed, I wrote an example Genetic Algorithm library (https://github.com/nathansalter/genetic-algorithm/blob/master/examples/tsp.php) years and years ago, worked absolutely fine with a reasonable execution time. I would say that for any workload that's CPU bound PHP is just as good as any other language. Memory bound problems often have better languages for performance.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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