Go is a popular open-source programming language created by google researchers. It has many attractive features like garbage collector, cross-platform, efficient concurrency and so on. Machine learning helped everyone( including non-CS people too) over the past few years. We know that Go provides faster speeds at accessing requests over the internet, and also it can be used for something practical- like Machine learning. Here we’ve listed out some top machine learning libraries in Golang. Let’s see which are those.
You can know the reasons to use golang at- Why Golang Is Better Than Other Languages?
Golang Machine Learning Libraries-
1. Gorgonia-
This library helps in facilitating machine learning completely in Go language. Main goal of this library is to be a highly performant machine learning and graph computation-based library that can scale across multiple machines. Also, it provides a platform for the exploration of non-standard deep learning and neural network related research. It can perform processes like neo-Hebbian learning, corner-cutting calculations, etc. Some of its features are-
Gorgonia can perform automatic differentiation, symbolic differentiation, gradient descent optimization and numerical stabilisation.
Library provides various convenience functions to help create neural networks.
This library supports CUDA and GPGPU computation.
2. Golearn-
It is a popular library in Go language and known as the ‘batteries included’ machine learning library for Go. Golearn aims to contribute simplicity paired with customizability. It has great features like-
Data are loaded in as Instances. You can then perform matrix like operations on them, and pass them to estimators.
This library is like popular Scikit-learn library in Python because it implements the Scikit-learn interface of Fit/Predict.
Golearn includes helper functions for data such as train splitting, test splitting and cross-validation.
know more at- https://solaceinfotech.com/blog/top-7-golang-machine-learning-libraries-to-use-in-2021/
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