Go Differentiation

Open-source Go projects categorized as Differentiation
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Go Differentiation Projects

Differentiation

  1. Gorgonia

    Gorgonia is a library that helps facilitate machine learning in Go.

    Project mention: ML in Go with a Python Sidecar | news.ycombinator.com | 2024-11-17

    For Go specifically, there are some libraries like Gorgonia (https://github.com/gorgonia/gorgonia) that can do inference.

    Practically speaking though, the rate at which models change is so fast that if you opt to go this route, you'll perpetually be lagging behind the state of the art by just a bit. Either you'll be the one implementing the latest improvements or be waiting for the framework to catch up. This is the real value of the sidecar approach: when a new technique comes out (like speculative decoding, for example) you don't need to reimplement it in Go but instead can use the implementation that most other python users will use.

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NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

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Go Differentiation related posts

  • Machine Learning en GO! 🤯

    1 project | /r/golangspanish | 26 Apr 2023

  • [D] When was the last time you wrote a custom neural net?

    1 project | /r/MachineLearning | 13 Nov 2022

  • Neural networks in golang

    3 projects | /r/golang | 8 Jul 2022

Index

# Project Stars
1 Gorgonia 5,667

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