Machine learning for Go.
GoMIT Licenseslowing
22 projectsGo › General-Purpose Machine Learning
Machine learning for Go.
GoMIT Licenseslowing
Deep learning in Go.
GoApache License 2.0slowing
Self-contained Machine Learning and Natural Language Processing library in Go.
GoBSD 2-Clause "Simplified" Licenseslowing
Machine learning library written in pure Go.
GoMIT Licensedormant
An evolutionary optimization library.
GoMIT Licenseslowing
Naive Bayesian Classification for Golang. [Deprecated]
GoOthersteady
Ensembles of decision trees in Go/Golang. [Deprecated]
GoOtherdormant
Neural Networks written in Go.
GoMIT Licensedormant
A pure Go implementation of the prediction part of GBRTs, including XGBoost and LightGBM.
GoMIT Licenseslowing
A high-level machine learning library in the vein of Keras.
GoApache License 2.0slowing
GoNN is an implementation of Neural Network in Go Language, which includes BPNN, RBF, PCN. [Deprecated]
Godormant
Genetic Algorithms library written in Go / Golang. [Deprecated]
Godormant
Linear / Logistic regression, Neural Networks, Collaborative Filtering and Gaussian Multivariate Distribution. [Deprecated]
Godormant
Fast and convenient feature processing for low latency machine learning in Go.
GoMIT Licenseslowingarchived
Plug-and-play, parallel Go framework for NeuroEvolution of Augmenting Topologies (NEAT). [Deprecated]
GoGNU General Public License v3.0dormantarchived
Pattern recognition package in Go lang. [Deprecated]
Godormant
Go binding for MXNet c_predict_api to do inference with a pre-trained model.
GoApache License 2.0dormant
A recommendation library in Go.
GoMIT Licensedormant
benchmarks of machine learning inference for Go.
Goactive
From-scratch Go port of tinygrad: a graph-rewrite ML compiler with reverse-mode autodiff and a WebGPU backend.
GoGNU Affero General Public License v3.0active
An embedded deep learning library for Go.
GoMIT Licenseslowingarchived
Deep Neural Networks for Golang (powered by MXNet)
GoApache License 2.0dormantarchived
Back to Awesome MachineLearningSearch Awesome MachineLearning →