GO Machine Learning Libraries

GoLearn is a machine learning library for Go that provides a variety of algorithms for classification, regression, clustering, and anomaly detection. It is a good choice for developers who want to use a variety of machine learning algorithms in their Go applications.

Gorgonia is a powerful machine learning and deep learning library written in the Go programming language. With its extensive set of mathematical operations and optimization algorithms, Gorgonia enables developers to create sophisticated models and achieve high-performance computations.

Go-Neural is a machine learning library for Go that is designed to help developers build neural networks. It provides a variety of layers and functions for building and training neural networks.

MathLibGO is a math library for Go that provides a variety of functions for linear algebra, statistics, and optimization. It is a good choice for developers who need to use math functions in their machine learning applications.

Gonum is a scientific computing library for Go that provides a variety of functions for linear algebra, statistics, optimization, and signal processing. It is a good choice for developers who need to use scientific computing functions in their machine learning applications.

Go-Stats is a statistics library for Go that provides a variety of functions for descriptive statistics, statistical tests, and probability distributions. It is a good choice for developers who need to use statistics functions in their machine learning applications.

Go-Tensor is a tensor library for Go that provides a variety of functions for tensor operations, such as tensor multiplication, tensor convolution, and tensor pooling. It is a good choice for developers who need to use tensor operations in their machine learning applications.

Go-Torch is a machine learning library for Go that is built on top of the Torch library. It provides a variety of functions for training and deploying deep learning models.