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Dynamic decision tree, create trees defining customizable rules

An evolutionary optimization library

A Deep Neural Network library written in Go

Neural Networks written in go

Various probability distributions, and associated methods

A simplistic Neural Network Library in Go

On-line Machine Learning in Go

An accelerated Machine Learning framework for Go

Neural Network for Go

Bayesian optimization framework for black-box functions written in Go. Everything will be optimized

graph-based computational library like Theano for Go that provides primitives for building various machine learning and neural network algorithms

An offline recommender system backend based on collaborative filtering written in Go

Go Scoring API for PMML

Huggingface transformer pipelines for golang with onnxruntime

A CLI tool to transpile trained classic ML models into a native Go code with zero dependencies, written in Python with Go language support

A simple OCR API server, seriously easy to be deployed by Docker and Heroku

Go Interface to Open Neural Network Exchange (ONNX)

Probability distribution functions. Bayesian inference. Written in pure Go

Recommendation & collaborative filtering engine

Bayesian text classifier with flexible tokenizers and storage backends for Go

Easy to use Tensorflow bindings: simplifies the usage of the official Tensorflow Go bindings. Define computational graphs in Go, load and execute models trained in Python

Golang Neural Network

A general-purpose bot library inspired by Hubot but written in Go

Health scanner and diagnostic tool for Cursor AI IDE configuration (.cursor/rules/ files). Scans for broken YAML frontmatter, rule conflicts, redundancies, missing alwaysApply, token budget issues, an