Go-lang Machine Learning
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Naive Bayesian Classification for Golang.Fast, flexible, multi-threaded ensembles of decision trees for machine learning in pure Go.Dynamic decision tree, create trees defining customizable rules.An evolutionary optimization library.Genetic Algorithm and Particle Swarm Optimization library.A Deep Neural Network library written in Go.Go implementation of the k-modes and k-prototypes clustering algorithms.A feature-rich neural network library in Go.Go bindings for Fast Artificial Neural Networks(FANN) library.Fast and convenient feature processing for low latency machine learning in Go.Genetic Algorithms library written in Go / golang.Pattern recognition package in Go lang.Neural Networks written in go.Various probability distributions, and associated methods.Genetic algorithm library for Go.General Machine Learning library for Go.liblinear bindings for Go.A simplistic Neural Network Library in Go.On-line Machine Learning in Go.Neural Network for Go.Bayesian optimization framework for black-box functions written in Go. Everything will be optimized.Recommendation Algorithms library written in Go.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.Go package for OCR (Optical Character Recognition), by using Tesseract C++ library.libsvm golang version derived work based on LIBSVM 3.14.A CLI tool to transpile trained classic ML models into a native Go code with zero dependencies, written in Python with Go language support.Plug-and-play, parallel Go framework for NeuroEvolution of Augmenting Topologies (NEAT).Multilayer perceptron network implemented in Go, with training via backpropagation.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.Easy to use Random Forest library for 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.