onnx-go
Neural Network Library
A Go package that allows developers to import pre-trained neural network models without being tied to a framework or library.
onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
726 stars
19 watching
72 forks
Language: Go
last commit: 6 months ago gogorgoniamachine-learningneural-networkonnxopen-sourceprotobufsoftware2
Related projects:
Repository | Description | Stars |
---|---|---|
| A lightweight neural network library in Go | 84 |
| A Go module implementing a multi-layer Neural Network for machine learning tasks | 82 |
| A Go library implementing neural networks with basic training and prediction capabilities | 561 |
| An implementation of Neural Networks in Go Language | 361 |
| Provides an interface to FANN's neural network functionality in Go | 116 |
| A Go-based neural network library for building and training artificial neural networks. | 55 |
| A Go implementation of an artificial neural network architecture with support for various activation functions and optimization algorithms. | 536 |
| A high-level machine learning library built on Gorgonia for Go that aims to provide an easy-to-use interface for building and training neural networks. | 373 |
| A multilayer perceptron network implementation with backpropagation training | 70 |
| A library for building secure and private networks in Go | 270 |
| An ORM library for Go, enabling the creation of structured databases with support for transactions, migrations, and validation. | 711 |
| An Object Data Model wrapper for MongoDB in Go, providing features like ODM and validation. | 486 |
| A Go package providing high-performance asynchronous logging with customizable filtering and multiple message targets. | 122 |
| A Go library that enables communication with UPnP devices and services over the network. | 431 |
| A Go-based machine learning library designed to support neural architectures in natural language processing | 1,759 |