RenatoGeh/gospn

A free, open-source inference and learning library for Sum-Product Networks (SPN)

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This is a tool for developers who work with probabilistic models. It allows you to build and work with Sum-Product Networks (SPNs), which are a type of deep probabilistic graphical model. You can input data in formats like ARFF or .npy, and the tool will output the trained SPN model, which can then be used to calculate probabilities or find the most likely data values.

No commits in the last 6 months.

Use this if you are a Go developer building applications that require probabilistic reasoning, such as in machine learning or AI research, and need a library for tractable inference and learning with Sum-Product Networks.

Not ideal if you are looking for a high-level, off-the-shelf machine learning tool or if you are not comfortable with Go programming.

probabilistic-modeling deep-learning-development machine-learning-engineering graphical-models
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 15 / 25

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Stars

25

Forks

5

Language

Go

License

BSD-3-Clause

Category

go-ml-bindings

Last pushed

Jan 16, 2019

Commits (30d)

0

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