Skip to main content
Donate to the Python Software Foundation or Purchase a PyCharm License to Benefit the PSF! Donate Now

No project description provided

Project description

# GangliPy

GangliPy is a collection of neural networks evaluated to be the best for certain types of tasks.

# In Progress

## Auto OCR

The first project here is an attempt to recognize all 60,000 unicode characters using a single hidden layer.

Fully connected input and output layers have proven sufficient for recognizing 16x16 unicode images, and can even predict never before seen characters.

![OCR example](

However, ‘predicting never before seen characters’ fades to noise when enough characters are seen, so another layer is
needed to make this ‘variational’ and keep realistic guesses when failing to perfectly predict.

## Unicode Regognition Tests

The unicode recognition tests I’m using for Auto OCR will need to be pulled out and placed into a seperate testing and evaluation repository.

# Installation

There is currently no pip repository available. Once Auto OCR is finished, it will be pulled out into its own repo and will be added as a requirement to this one.


GangliPy is distributed under the terms of [GNU AGPL V3.0](

Project details

Release history Release notifications

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
GangliPy-0.0.1.tar.gz (20.9 kB) Copy SHA256 hash SHA256 Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page