Gorgonia
tfgo
Gorgonia | tfgo | |
---|---|---|
22 | 6 | |
5,763 | 2,447 | |
1.3% | 0.0% | |
1.1 | 1.5 | |
10 months ago | about 1 year ago | |
Go | Go | |
Apache License 2.0 | Apache License 2.0 |
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.
Gorgonia
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ML in Go with a Python Sidecar
For Go specifically, there are some libraries like Gorgonia (https://github.com/gorgonia/gorgonia) that can do inference.
Practically speaking though, the rate at which models change is so fast that if you opt to go this route, you'll perpetually be lagging behind the state of the art by just a bit. Either you'll be the one implementing the latest improvements or be waiting for the framework to catch up. This is the real value of the sidecar approach: when a new technique comes out (like speculative decoding, for example) you don't need to reimplement it in Go but instead can use the implementation that most other python users will use.
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Machine Learning en GO! π€―
GitHub - gorgonia/gorgonia: Gorgonia is a library that helps facilitate machine learning in Go.
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Machine Learning
I did end up writing and using a custom library for Random Forest (it's also in AwesomGo) in one real-world project (detecting Alzheimer's and Parkinson's from speech from a mobile app) - https://github.com/malaschitz/randomForest I had better results than the team who used TensorFlow and most importantly I didn't have to use any other technology than Go. For NN's it's probably best to use https://gorgonia.org/ - but it's not exactly a user friendly library. But there is a whole book on it - Hands-On Deep Learning with Go.
- Why isnβt Go used in AI/ML?
- GoLang AI/ML open source projects
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A systematic framework for technical documentation authoring
Perhaps it's a product of French culture, but because Gorgonia[0] has a number of French contributors, this was actually the way we structured our documentation.
But this is the first time I've heard of the name of the framework.
[0]: https://gorgonia.org
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[D] When was the last time you wrote a custom neural net?
Oh it's.Gorgonia
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Most Popular GoLang Frameworks
Website: https://gorgonia.org
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[D] What framework are you using?
I use Gorgonia.
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Why can't Go be popular for machine learning?
What you think about this https://github.com/gorgonia/gorgonia ? I also recall there is something else out there but can't find it at the moment...
tfgo
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Show HN: Carton β Run any ML model from any programming language
eh, awesome! Seems this one, right? https://github.com/galeone/tfgo. Quite many stars.
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Introducing GoFaceRec: A Go-based Face Recognition Tool Using Deep Learning
I'm excited to share a project I've been working on: [GoFaceRec](https://github.com/modanesh/GoFaceRec). This is a face recognition tool built in Go, leveraging the power of MTCNN for face detection and QMagFace for face recognition. The project was born out of a desire to bring the power of deep learning models to the Go community. After much effort, I concluded that the best approach was to convert models to TensorFlow and then work with tfgo, a Go binding to TensorFlow's C API. In GoFaceRec, the input image is first processed, and then its embeddings are compared against the ones already computed from our dataset. If the distance between embeddings falls below a specific threshold, then the face is considered as unknown. Otherwise, the proper label will be printed. The project is tested using Go 1.17 on Ubuntu 20.04. For gocv, the version of OpenCV installed is 4.7. And for tfgo, I installed [this version](https://github.com/galeone/tfgo) instead of the official one. You can install this package by running the following command in your project: > go get github.com/modanesh/[email protected] You can find more detailed instructions on how to use the tool in the [GitHub repository](https://github.com/modanesh/GoFaceRec). I welcome any feedback, suggestions, or contributions to the project. I'm looking forward to seeing how the community uses GoFaceRec and hope it can be a valuable tool for those working on face recognition tasks. Happy coding! π
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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
What are some alternatives?
GoLearn - Machine Learning for Go
go-deep - Artificial Neural Network
onnx-go - onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
goml - On-line Machine Learning in Go (and so much more)
libsvm - libsvm go version