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.
neat
Posts with mentions or reviews of neat.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning neat yet.
Tracking mentions began in Dec 2020.
Goptuna
Posts with mentions or reviews of Goptuna.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning Goptuna yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
When comparing neat and Goptuna you can also consider the following projects:
tfgo - Tensorflow + Go, the gopher way
GoLearn - Machine Learning for Go
libsvm - libsvm go version
gago - :four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
godist - Probability distributions and associated methods in Go
goga - Golang Genetic Algorithm
sklearn - bits of sklearn ported to Go #golang
go-pr - Pattern recognition package in Go lang.
goml - On-line Machine Learning in Go (and so much more)
Varis - Golang Neural Network
gobrain - Neural Networks written in go