dataframe-go
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dataframe-go | GoLearn | |
---|---|---|
3 | 3 | |
1,112 | 9,161 | |
2.6% | - | |
0.0 | 0.0 | |
about 2 years ago | 3 months ago | |
Go | Go | |
GNU General Public License v3.0 or later | MIT License |
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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
GoLearn
- Machine Learning
- GoLang AI/ML open source projects
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Multi-layer neural network from scratch in Go
If you're curious about a more robust machine learning library in Go, https://github.com/sjwhitworth/golearn is a quite feature-rich option.
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
Gorgonia - Gorgonia is a library that helps facilitate machine learning in Go.
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
sklearn - bits of sklearn ported to Go #golang
qframe - Immutable data frame for Go
goml - On-line Machine Learning in Go (and so much more)
gonum/plot - A repository for plotting and visualizing data
neural-go - A multilayer perceptron network implemented in Go, with training via backpropagation.
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
randomforest - Random Forest implementation in golang