Machine Learning

• bayesian - Naive Bayesian Classification for Golang.
• born - Deep learning framework inspired by Burn (Rust), with autograd, type-safe tensors, and zero-CGO GPU acceleration.
• catboost-cgo - Fast, scalable, high performance Gradient Boosting on Decision Trees library. Golang using Cgo for blazing fast inference CatBoost Model.
• CloudForest - Fast, flexible, multi-threaded ensembles of decision trees for machine learning in pure Go.
• ddt - Dynamic decision tree, create trees defining customizable rules.
• eaopt - An evolutionary optimization library.
• evoli - Genetic Algorithm and Particle Swarm Optimization library.
• fonet - A Deep Neural Network library written in Go.
• go-cluster - Go implementation of the k-modes and k-prototypes clustering algorithms.
• go-deep - A feature-rich neural network library in Go.
• go-fann - Go bindings for Fast Artificial Neural Networks(FANN) library.
• go-galib - Genetic Algorithms library written in Go / golang.
• go-pr - Pattern recognition package in Go lang.
• gobrain - Neural Networks written in go.
• godist - Various probability distributions, and associated methods.
• goga - Genetic algorithm library for Go.
• GoLearn - General Machine Learning library for Go.
• GoMind - A simplistic Neural Network Library in Go.
• goml - On-line Machine Learning in Go.
• GoMLX - An accelerated Machine Learning framework for Go.
• gonet - Neural Network for Go.
• Goptuna - Bayesian optimization framework for black-box functions written in Go. Everything will be optimized.
• goRecommend - Recommendation Algorithms library written in Go.
• gorgonia - graph-based computational library like Theano for Go that provides primitives for building various machine learning and neural network algorithms.
• gorse - An offline recommender system backend based on collaborative filtering written in Go.
• goscore - Go Scoring API for PMML.
• gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library.
• hugot - Huggingface transformer pipelines for golang with onnxruntime.
• libsvm - libsvm golang version derived work based on LIBSVM 3.14.
• m2cgen - A CLI tool to transpile trained classic ML models into a native Go code with zero dependencies, written in Python with Go language support.
• neural-go - Multilayer perceptron network implemented in Go, with training via backpropagation.
• ocrserver - A simple OCR API server, seriously easy to be deployed by Docker and Heroku.
• onnx-go - Go Interface to Open Neural Network Exchange (ONNX).
• probab - Probability distribution functions. Bayesian inference. Written in pure Go.
• randomforest - Easy to use Random Forest library for Go.
• regommend - Recommendation & collaborative filtering engine.
• shield - Bayesian text classifier with flexible tokenizers and storage backends for Go.
• tfgo - 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.
• Varis - Golang Neural Network.

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