avo VS gorse

Compare avo vs gorse and see what are their differences.

avo

Generate x86 Assembly with Go (by mmcloughlin)

gorse

Gorse open source recommender system engine (by gorse-io)
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avo gorse
10 8
2,546 7,903
- 1.3%
7.3 7.7
14 days ago about 1 month ago
Go Go
BSD 3-clause "New" or "Revised" License Apache License 2.0
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.

avo

Posts with mentions or reviews of avo. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-23.

gorse

Posts with mentions or reviews of gorse. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-22.

What are some alternatives?

When comparing avo and gorse you can also consider the following projects:

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

m2cgen - Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library

sklearn - bits of sklearn ported to Go #golang

GoLearn - Machine Learning for Go

go-cluster - k-modes and k-prototypes clustering algorithms implementation in Go

libsvm - libsvm go version

bayesian - Naive Bayesian Classification for Golang.

goml - On-line Machine Learning in Go (and so much more)

go-deep - Artificial Neural Network

CloudForest - Ensembles of decision trees in go/golang.

goscore - Go Scoring API for PMML