leaves
pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks (by dmitryikh)
nett
A short and sweet neural network library. (by sno6)
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
leaves
Posts with mentions or reviews of leaves.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-11-16.
- ml for text
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ML in golang
For Random Forests https://github.com/dmitryikh/leaves is very good. It is native Go port of XGBoost.
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Machine learning with GOlang
Tabular data is well supported in Go. Tabular data and small sample sizes is a sweet spot for Go. You may squeze in some meaningful performance and good looking code and integrations. Some entry points: (1) https://github.com/nikolaydubina/go-ml-benchmarks (2) https://github.com/dmitryikh/leaves (3) https://github.com/nikolaydubina/go-featureprocessing
nett
Posts with mentions or reviews of nett.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-05.
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Machine learning with GOlang
I've used it to learn how to implement certain matrix ops and backprop by hand. Tis a good exercise actually, to try and build a functioning neural network without any dependencies (https://github.com/sno6/nett).
What are some alternatives?
When comparing leaves and nett you can also consider the following projects:
tflite-golang-gan-example
go-ml-benchmarks - ⏱ Benchmarks of machine learning inference for Go
tensorflow - An Open Source Machine Learning Framework for Everyone
go-featureprocessing - 🔥 Fast, simple sklearn-like feature processing for Go
spaGO - Self-contained Machine Learning and Natural Language Processing library in Go