tfgo
Tensorflow + Go, the gopher way (by galeone)
CloudForest
Ensembles of decision trees in go/golang. (by ryanbressler)
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| tfgo | CloudForest | |
|---|---|---|
| 4 | 1 | |
| 2,006 | 714 | |
| - | - | |
| 4.3 | 0.0 | |
| about 2 months ago | 6 months ago | |
| Go | Go | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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.
tfgo
Posts with mentions or reviews of tfgo.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-07-22.
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Why can't Go be popular for machine learning?
Paolo Galeone has improved bindings (tfgo) that can be used for training and deployment.
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How to train a model for object detection in Golang?
https://github.com/galeone/tfgo here is a very good tutorial. I would suggest starting there.
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What libraries from other languages do you wish were ported over into go?
Tensorflow is actually written in C++, and the python package is just bindings to tensorflow. There are Tensorflow Go bindings: https://github.com/galeone/tfgo.
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Using Time series to make predictions
have you tried your hands at [galeone/tfgo](https://github.com/galeone/tfgo); I've just hello-world it... so can't vouch on efficiency
CloudForest
Posts with mentions or reviews of CloudForest.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-07-19.
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[D] Best methods for imbalanced multi-class classification with high dimensional, sparse predictors
The best method i've seen for dealing with this bias is to create "artificial contrasts" by including possibly many permutated copies of each feature and then doing a statistical test of the random forest importance values for each feature vs its shuffled contrasts. This method is described here: https://www.jmlr.org/papers/volume10/tuv09a/tuv09a.pdf and there is an implementation here: https://github.com/ryanbressler/CloudForest
What are some alternatives?
When comparing tfgo and CloudForest you can also consider the following projects:
Gorgonia - Gorgonia is a library that helps facilitate machine learning in Go.
GoLearn - Machine Learning for Go
neat
libsvm - libsvm go version
gago - :four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
go-deep - Artificial Neural Network
Varis - Golang Neural Network
go-galib - Genetic Algorithms library written in Go / golang
gobrain - Neural Networks written in go
shield - Bayesian text classifier with flexible tokenizers and storage backends for Go