November 08, 2023

Three-Year Growth of Elixir's Nx Machine Learning Library

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Three-Year Growth of Elixir's Nx Machine Learning Library

Source: dockyard.com

The Nx project began on October 28, 2020, marking the start of Elixir's journey into the machine learning scene. Despite initial doubts about Elixir's capability for machine learning, owing to its design for IO-bound workloads, the Nx project has evolved beyond experimental phases to production-ready applications, enjoying an overwhelmingly positive community response. It offers a functional approach to numerical computing, taking advantage of XLA (Accelerated Linear Algebra) for compiling computation graphs into native programs that target CPUs or GPUs. Over three years, the project has undergone numerous trials, from developing automatic differentiation to integrating pre-trained machine learning models from other ecosystems, particularly Python. The Nx project has expanded to include 18 projects with auxiliary libraries like Axon for building neural networks, Livebook for interactive notebooks, and Bumblebee for loading pre-trained models. With the increasing capabilities of open-source models and the robustness of the Elixir ecosystem, Sean Moriarity anticipates Nx will become a competitive deployment option for foundation models and sees Elixir as a preferred language for machine learning applications. The Nx ecosystem has broadened to support a wide variety of machine learning use cases, promising an equally exciting future ahead.

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