PHPackages                             noiselabs/build-your-own-neural-network - PHPackages - PHPackages  [Skip to content](#main-content)[PHPackages](/)[Directory](/)[Categories](/categories)[Trending](/trending)[Leaderboard](/leaderboard)[Changelog](/changelog)[Analyze](/analyze)[Collections](/collections)[Log in](/login)[Sign up](/register)

1. [Directory](/)
2. /
3. [Utility &amp; Helpers](/categories/utility)
4. /
5. noiselabs/build-your-own-neural-network

ActiveLibrary[Utility &amp; Helpers](/categories/utility)

noiselabs/build-your-own-neural-network
=======================================

Support code for the "Build Your Own Neural Network With PHP" talk

231

Since Jun 7Compare

[ Source](https://github.com/noiselabs/byonn)[ Packagist](https://packagist.org/packages/noiselabs/build-your-own-neural-network)[ RSS](/packages/noiselabs-build-your-own-neural-network/feed)WikiDiscussions Synced yesterday

READMEChangelogDependenciesVersions (1)Used By (0)

### README not available

The README for this package hasn't been synced yet. View it on [GitHub](https://github.com/noiselabs/byonn).

###  Health Score

20

—

LowBetter than 14% of packages

Maintenance20

Infrequent updates — may be unmaintained

Popularity10

Limited adoption so far

Community2

Small or concentrated contributor base

Maturity40

Maturing project, gaining track record

How is this calculated?**Maintenance (25%)** — Last commit recency, latest release date, and issue-to-star ratio. Uses a 2-year decay window.

**Popularity (30%)** — Total and monthly downloads, GitHub stars, and forks. Logarithmic scaling prevents top-heavy scores.

**Community (15%)** — Contributors, dependents, forks, watchers, and maintainers. Measures real ecosystem engagement.

**Maturity (30%)** — Project age, version count, PHP version support, and release stability.

### Community

Maintainers

![](https://www.gravatar.com/avatar/e9b45b06004ca41f33b01643ea58854ede6df882d9d262318c13e77f738e8402?d=identicon)[noiselabs](/maintainers/noiselabs)

### Embed Badge

![Health badge](/badges/noiselabs-build-your-own-neural-network/health.svg)

```
[![Health](https://phpackages.com/badges/noiselabs-build-your-own-neural-network/health.svg)](https://phpackages.com/packages/noiselabs-build-your-own-neural-network)
```

###  Alternatives

[freshbitsweb/laratables

Ajax support of DataTables for Laravel

4871.1M3](/packages/freshbitsweb-laratables)[ahand/mobileesp

Since 2008, MobileESP provides web site developers an easy-to-use and lightweight API for detecting whether visitors are using a mobile device, and if so, what kind. The APIs provide simple boolean results ('true' or 'false') for identifying individual device categories (such as iPhone, BlackBerry, Android, and Windows Mobile), device capabilities (e.g., J2ME), and broad classes of devices, such as 'iPhone Tier' (iPhone/Android/Tizen) or 'Tablet Tier.' APIs are available in PHP, JavaScript, Java, C#, Ruby Python, and more.

174491.4k7](/packages/ahand-mobileesp)

PHPackages © 2026

[Directory](/)[Categories](/categories)[Trending](/trending)[Changelog](/changelog)[Analyze](/analyze)
