{ "info": { "author": "Marius Killinger, Gregor Urban", "author_email": "Marius.Killinger@mailbox.org", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Environment :: Console", "Intended Audience :: Science/Research", "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)", "Operating System :: POSIX :: Linux", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 2 :: Only", "Topic :: Scientific/Engineering :: Artificial Intelligence", "Topic :: Scientific/Engineering :: Information Analysis" ], "description": ".. image:: https://badge.fury.io/py/elektronn.svg\n :target: https://badge.fury.io/py/elektronn\n\n.. image:: http://anaconda.org/conda-forge/elektronn/badges/version.svg\n :target: http://anaconda.org/conda-forge/elektronn\n\n\nELEKTRONN is a highly configurable toolkit for training 3D/2D CNNs and general Neural Networks.\n\nIt is written in Python 2 and based on Theano, which allows CUDA-enabled GPUs to significantly accelerate the pipeline.\n\nThe package includes a sophisticated training pipeline designed for classification/localisation tasks on 3D/2D images. Additionally, the toolkit offers training routines for tasks on non-image data.\n\nELEKTRONN was created by Marius Killinger and Gregor Urban at the Max Planck Institute For Medical Research to solve connectomics tasks.\n\n.. image:: http://elektronn.org/downloads/combined_title.jpg\n :width: 1000px\n :alt: Logo+Example\n :target: http://elektronn.org/\n\nMembrane and mitochondria probability maps. Predicted with a CNN with recursive training. Data: zebra finch area X dataset j0126 by J\u00f6rgen Kornfeld.\n\nLearn More:\n-----------\n\n`Website `_\n\n`Installation instructions `_\n\n`Documentation `_ \n\n`Source code `_\n\n\nToy Example\n-----------\n\n::\n\n $ elektronn-train MNIST_CNN_warp_config.py\n\nThis will download the MNIST data set and run a training defined in an example config file. 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