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Deep learning framework inspired by Burn (Rust), with autograd, type-safe tensors, and zero-CGO GPU acceleration

Fast, scalable, high performance Gradient Boosting on Decision Trees library. Golang using Cgo for blazing fast inference CatBoost Model

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

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 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