tfgo
apd
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tfgo | apd | |
---|---|---|
6 | 7 | |
2,378 | 597 | |
- | 2.3% | |
1.5 | 3.8 | |
about 1 month ago | about 1 month 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.
tfgo
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Show HN: Carton – 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! 🚀
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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
apd
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What libraries are missing?
https://github.com/cockroachdb/apd is currently the best implementation in the ecosystem (performance, correctness). Have you already evaluated it?
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Lack of Decimal Support
FWIW I think cockroachdb/apd is the best third party option. While building bojanz/currency I've evaluated and benchmarked the others and found them either less maintained, slower, or both.
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Small Fixed-Point Decimals library
I have a package for handling currency amounts and calculations that is based on cockroachdb/apd, in my opinion the best arbitrary-precision decimal implementation in Go right now. So, I can offer a bit of insight.
- cockroachdb/apd v3.0.0
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Library recommendation -- money calculations, more accurate handling of floats
The best decimal package is still cockroachdb/apd. I wrap it in bojanz/currency for money handling.
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What libraries from other languages do you wish were ported over into go?
https://github.com/cockroachdb/apd remains the best decimal library for Go (ericlagergren/decimal is faster but unmaintained).
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currency - Currency amounts and formatting for Go
Note: In benchmarks ericlagergren/decimal was noticeably faster than cockroachdb/apd, but it has known bugs when used with go mod, so I decided to wait and go with cockroachdb/apd for now. The Amount struct wraps the decimal implementation completely, making it easy to do the swap later without breaking BC.
What are some alternatives?
Gorgonia - Gorgonia is a library that helps facilitate machine learning in Go.
decimal - Arbitrary-precision fixed-point decimal numbers in Go
GoLearn - Machine Learning for Go
decimal - A high-performance, arbitrary-precision, floating-point decimal library.
neat
root - The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
go-deep - Artificial Neural Network
gonum - Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
libsvm - libsvm go version
currency - Currency handling for Go.
Varis - Golang Neural Network
centrifuge - Real-time messaging library for Go. The simplest way to add feature-rich and scalable WebSocket support to your application. The core of Centrifugo server.