Metadata-Version: 2.1
Name: neuralnets
Version: 1.1.2.6
Summary: A library, based on PyTorch, that implements basic neural network algorithms and useful functions
Home-page: https://github.com/saeyslab/neuralnets
Author: Joris Roels
Author-email: jorisb.roels@ugent.be
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License (GPL)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: torch
Requires-Dist: torchvision
Requires-Dist: future
Requires-Dist: tensorboard
Requires-Dist: numpy
Requires-Dist: tifffile
Requires-Dist: h5py
Requires-Dist: scikit-image
Requires-Dist: opencv-python
Requires-Dist: progress
Requires-Dist: six
Requires-Dist: sklearn

# NeuralNets

This code implements various useful utilities for training neural networks (particularly for segmentation). Make sure to check out our [documentation page](https://neuralnets.readthedocs.io/en/latest/)! 

## Installation
Installation is straightforward through pip:
<pre><code>pip install neuralnets</code></pre>


