项目作者: mrdimosthenis

项目描述 :
A lightweight library for neural networks that runs anywhere
高级语言: Elixir
项目地址: git://github.com/mrdimosthenis/Synapses.git
创建时间: 2019-11-24T17:51:43Z
项目社区:https://github.com/mrdimosthenis/Synapses

开源协议:MIT License

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Synapses

A group of neural-network libraries for functional and mainstream languages!

Choose a programming language:

Why Synapses?

It’s efficient

The implementation is based on lazy list.
The information flows smoothly.
Everything is obtained at a single pass.

It’s customizable

You can specify the activation function and the weight distribution for the neurons of each layer.
If this is not enough, edit the json of a network to be exactly what you have in mind.

It offers visualizations

Get an overview of a neural network by taking a brief look at its svg drawing.

Network Drawing

Data preprocessing is simple

By annotating the discrete and continuous attributes,
you can create a preprocessor that encodes and decodes the datapoints.

Works for huge datasets

The functions that process big volumes of data, have an Iterable/Stream as argument.
RAM should not get full!

It’s well tested

Every function is tested for every language.
Take a look at the test projects.

It’s compatible across languages

The interface is similar across languages.
You can transfer a network from one platform to another via its json instance.
Create a neural network in Python, train it in Java and get its predictions in JavaScript!