GoLearn
dataframe-go
GoLearn | dataframe-go | |
---|---|---|
3 | 3 | |
9,161 | 1,112 | |
- | 0.0% | |
0.0 | 0.0 | |
4 months ago | about 2 years ago | |
Go | Go | |
MIT License | GNU General Public License v3.0 or later |
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GoLearn
- Machine Learning
- GoLang AI/ML open source projects
-
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.
dataframe-go
-
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
-
Dynamic Structs
For guidance on how to use it: https://github.com/rocketlaunchr/dataframe-go/blob/master/exports/parquet.go
What are some alternatives?
Gorgonia - Gorgonia is a library that helps facilitate machine learning in Go.
gonum - Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
sklearn - bits of sklearn ported to Go #golang
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
goml - On-line Machine Learning in Go (and so much more)
qframe - Immutable data frame for Go
neural-go - A multilayer perceptron network implemented in Go, with training via backpropagation.
gonum/plot - A repository for plotting and visualizing data
gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library
Stats - A well tested and comprehensive Golang statistics library package with no dependencies.
randomforest - Random Forest implementation in golang
gonum/mat64