ctava/tfcgo

quickly get up and running creating machine learning programs in go using Tensorflow in a docker container:

32
/ 100
Emerging

This project helps Go developers integrate with TensorFlow's C++ framework, enabling them to build machine learning programs directly in Go. It provides a Docker container pre-configured with TensorFlow, Go, and the necessary bindings, allowing developers to quickly start training algorithms and using TensorFlow's operations from their Go code. The end-user is a Go developer who wants to leverage TensorFlow for machine learning.

No commits in the last 6 months.

Use this if you are a Go developer looking to implement machine learning models using TensorFlow without relying solely on Go's official, often lagging, bindings.

Not ideal if you are not a Go developer or if you prefer to use TensorFlow with Python, Java, or other fully supported languages.

Go-development machine-learning-engineering TensorFlow-integration MLOps-tooling backend-development
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 11 / 25

How are scores calculated?

Stars

13

Forks

2

Language

Go

License

MIT

Category

go-ml-bindings

Last pushed

Apr 21, 2018

Commits (30d)

0

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