elektronn

View on PyPIReverse Dependencies (0)

1.0.14 elektronn-1.0.14-cp27-cp27mu-manylinux1_x86_64.whl
elektronn-1.0.14-cp27-cp27m-manylinux1_x86_64.whl

Wheel Details

Project: elektronn
Version: 1.0.14
Filename: elektronn-1.0.14-cp27-cp27mu-manylinux1_x86_64.whl
Download: [link]
Size: 484111
MD5: 0c60f86cff2be8b73c60a188a7567d09
SHA256: 32c59c0b73a9a681022fd12c254deb8e5f18fc8c4e34de02a4872b46c9c9529f
Uploaded: 2017-04-14 22:47:18 +0000

dist-info

METADATA

Metadata-Version: 2.0
Name: elektronn
Version: 1.0.14
Summary: A highly configurable toolkit for training 3d/2d CNNs and general Neural Networks
Author: Marius Killinger, Gregor Urban
Author-Email: Marius.Killinger[at]mailbox.org
Home-Page: http://www.elektronn.org/
License: GPLv3
Keywords: cnn theano convolutional neural network machine learning classification
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 2 :: Only
Classifier: Programming Language :: Python :: 2.7
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Requires-Dist: h5py (>=2.2)
Requires-Dist: matplotlib (<2)
Requires-Dist: numpy (>=1.8)
Requires-Dist: scipy (>=0.14)
Requires-Dist: theano (>=0.7)
Requires-Dist: scikit-learn (<0.20,>=0.14); extra == "cross-validation"
Provides-Extra: cross-validation
[Description omitted; length: 2035 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.29.0)
Root-Is-Purelib: false
Tag: cp27-cp27mu-manylinux1_x86_64

RECORD

Path Digest Size
elektronn/utils.py sha256=KY2saVNoTUD3IPrKOustoKxUp2KqdZkOhlfVStsukvc 414
elektronn/__init__.py sha256=cC3HuO3-xFZno-7qvhOgzDmZE_Y0XNn49PqgPp4ooTo 277
elektronn/training/warping.py sha256=NvN1UjN_9vnyUr8esTkCWrbHzdekz7q3vKqFvsLieo0 13795
elektronn/training/trainutils.py sha256=WSGgc-0jmh10jX5-9pe2cKsdIM1LQaQJddN7SSN_7tM 23649
elektronn/training/trainer.py sha256=pAhdLnmaoI__eDrz5I_kV7EieBUuBmP23-UCdRxdSXA 29092
elektronn/training/traindata.py sha256=ibrYOR7oolprZjBZNBomuqNICwsIUphM1pmb0C0U_lo 21440
elektronn/training/predictor.py sha256=i3nTfA-c2AKx0bcTyjaW-ERvLjQ54G-uWTsQcPSC8mc 3596
elektronn/training/parallelisation.py sha256=fv3zWSweid2fLSD_zprpWMRjlaZdR3geMf_9vVuBoVI 19762
elektronn/training/config.py sha256=I5CoPx21jTzQZ8sl-p617qi4XX8I0u159RCiaVaAbcI 28329
elektronn/training/__init__.py sha256=LeIwfd3kgprYETtqts7dYtoWbbS2STO8qz8POWyzCjo 197
elektronn/training/CNNData.py sha256=0KYWM_Ec1zx4_xkQxvot5A0UexklZivFlYshU7U14FQ 39570
elektronn/training/_warping.so sha256=rifM_FvukP8qiigAAoVaK0xUDhjQdE2LHBG-hr_-NPQ 1190371
elektronn/net/pooling.py sha256=V8uaffM9ODyTtQ-_7wqcqkN2IsDd0z45EzvCmeYIGzY 5410
elektronn/net/perceptronlayer.py sha256=pJ5RRBixtKeEx9Iij402UXMuctXi9r0S1GDZGB0m_d4 25399
elektronn/net/optimizer.py sha256=D5_fnQ-RyT31d3Mp1v-05vpFhPMeKI_R8fjzHflZawY 24018
elektronn/net/netutils.py sha256=RcqvEE9m4yJcJZU1_nDDhkisEzJXc63ERxYB6EoHY4E 11941
elektronn/net/netcreation.py sha256=FKJ9E61cvAg3dHkLuQlz0hB4nIz9qrVBb7Ba5J7xxaw 6480
elektronn/net/introspection.py sha256=1kF0WCGvkk9cr0L1ksgewXBlYA-AUcLL9XwCr0NGvKU 8026
elektronn/net/gaborfilters.py sha256=T6W76STlHZRSi65mF0qK8K4WTTiV3toMJE2dqqJZfQQ 3685
elektronn/net/convnet.py sha256=jET4qOjBxYS2bq9mszmSJEipMF3CaX40v8de4HRS3ag 62296
elektronn/net/convlayer3d.py sha256=9p2SVxf9EqhmtIx3qIjQp_jJ5-HOeicH3oiy3jv2CYo 36010
elektronn/net/convlayer2d.py sha256=YX72pNYYvhjRL7ZsQ1VU2xFku92laKA9eaBGS6kwJlE 29853
elektronn/net/__init__.py sha256=LeIwfd3kgprYETtqts7dYtoWbbS2STO8qz8POWyzCjo 197
elektronn/examples/neuro_3d_config.py sha256=hhyjIgg7Xs1h2mSO8lAP30efPWraSYgatwDxdDHhKic 6341
elektronn/examples/config_template.py sha256=64ogR7xag-L_pfS4eHGYKhx83hMKQLaUgAe7aVNOVVg 9070
elektronn/examples/__init__.py sha256=W13LLYHF3hJK6t1B_GIEP_GermgJBRKSY_YBqK6Vhmk 196
elektronn/examples/MNIST_MLP_config.py sha256=iUe5vuauwdkxBo-Vjmx8PXQDnP4tqF3qFiPVMyqD8ko 3831
elektronn/examples/MNIST_Denoising_Autoencoder.py sha256=gK0nV71qPIhdIQH6PaqtWb-UrsOTBU_AMhFYyR0U8vs 3105
elektronn/examples/MNIST_CNN_warp_config.py sha256=Ti5AY02g3OQIlJynQKf98QnKspGJajhSGm4WF3Z4elA 4305
elektronn/examples/MNIST_CNN_standalone_Dropout.py sha256=W-SY6zL7r_o5Z6NSBg9Zunhb00LyoLi0imtKQiVm2fQ 1786
elektronn/examples/MNIST_CNN_standalone.py sha256=0hSnzh1pJLvhQnDs9osd1cthzV2_UM0mmp37WglKN5A 1451
elektronn-1.0.14.data/scripts/elektronn-train sha256=Pl4ruzb5W7Q8AawD5lZNVIsjBhrbh3SGOOvcIpPWjbM 1234
elektronn-1.0.14.data/scripts/elektronn-profile sha256=ZoTeSjPLCshvh2CIrrK-X8jTbeNdktsUXEIlpHGF1QQ 2671
elektronn-1.0.14.dist-info/DESCRIPTION.rst sha256=Ba-5McdMzNkB4zqMXRyjkM_Vf0zjbxyl_15PUnH6r-8 2106
elektronn-1.0.14.dist-info/metadata.json sha256=j8ty6IexDbmBSX7tL2nz9tdU8KEwD_5prvbShMUNhx4 1267
elektronn-1.0.14.dist-info/top_level.txt sha256=lftnhxUYaUY6lRvTeVTz6HpWCJKLrhxX8Ku837fAUXY 10
elektronn-1.0.14.dist-info/WHEEL sha256=K393SHwcz7KWfaAX1vI5Mn-fHxOX6ngCsqegCXacWE8 110
elektronn-1.0.14.dist-info/METADATA sha256=OYUjK_b-Mn1wWtWgUS-9lcV7entWsf4ZtheEaniC3Vc 3246
elektronn-1.0.14.dist-info/RECORD

top_level.txt

elektronn