GoMLX -- Accelerated ML for Go

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

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  • gomlx

    GoMLX -- Accelerated ML Libraries for Go

  • GoMLX (github.com/gomlx/gomlx) is a fast and (relatively) easy-to-use set of ML libraries built on top of OpenXLA, a just-in-time compiler of numeric computations for CPU, TPU and GPUs.

  • xla

    A machine learning compiler for GPUs, CPUs, and ML accelerators (by openxla)

  • GoMLX (github.com/gomlx/gomlx) is a fast and (relatively) easy-to-use set of ML libraries built on top of OpenXLA, a just-in-time compiler of numeric computations for CPU, TPU and GPUs.

  • 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
  • gonb

    GoNB, a Go Notebook Kernel for Jupyter

  • Training library, with some pretty-printing. Including plots for GoNB Jupyter notebook.

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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