Sparse matrix formats for linear algebra supporting scientific and machine learning applications
-
Updated
Feb 16, 2026 - Go
Sparse matrix formats for linear algebra supporting scientific and machine learning applications
Go's answer to pandas + scikit-learn: a batteries-included data analysis library with dataframes, statistics, machine learning, quant, and GPU acceleration. Run Python with seamless two-way variable sharing, or explore data straight from the Insyra CLI.
Modern Pure Go implementation of the HDF5 file format
Package lm solves non-linear least squares problems using the Levenberg-Marquardt method.
A free, open-source inference and learning library for Sum-Product Networks (SPN)
A Kalman Filter library in go. Includes several examples in statistical orbit determination.
Pytorch - Python + Golang = Gotorch
Implementation of Logistic Regression in Go
trackml is a Go package to simplify working with the High Energy Physics Tracking Machine Learning challenge
a multilayer neural net written in go
Visualize tweet patterns
📝Package gomnist lets you to load the MNIST data set for use with gonum package.
Library to extract information from MAT-files into golang structures
Statistical analysis tool for Docker container startup times using regression modeling and interactive visualizations.
Golang implementation of lis
To associate your repository with the gonum topic, visit your repo's landing page and select "manage topics."