dataframe-go
Gorgonia
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| dataframe-go | Gorgonia | |
|---|---|---|
| 3 | 21 | |
| 1,112 | 5,333 | |
| 2.6% | 1.0% | |
| 0.0 | 2.8 | |
| about 2 years ago | 23 days ago | |
| Go | Go | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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dataframe-go
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packages similar to Pandas
Numpy functionality is largely covered by https://www.gonum.org/ but for pandas I'm not sure if there is an equivalent as widely accepted. However, you might try https://github.com/rocketlaunchr/dataframe-go which I have not tried but it looks like it covers some of what you're looking for
- Machine Learning
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Dynamic Structs
For guidance on how to use it: https://github.com/rocketlaunchr/dataframe-go/blob/master/exports/parquet.go
Gorgonia
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Machine Learning en GO! 🤯
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 isn’t 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...
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Neural networks in golang
Yep, all of them: https://github.com/gorgonia/gorgonia
What are some alternatives?
gonum - Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
onnx-go - onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
GoLearn - Machine Learning for Go
qframe - Immutable data frame for Go
tfgo - Tensorflow + Go, the gopher way
gonum/plot - A repository for plotting and visualizing data
goml - On-line Machine Learning in Go (and so much more)
Stats - A well tested and comprehensive Golang statistics library package with no dependencies.
gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library
gonum/mat64
bayesian - Naive Bayesian Classification for Golang.