Wheelodex » Projects » convis

convis

View on PyPI — Reverse Dependencies (0)

0.6.3 convis-0.6.3-py2.py3-none-any.whl
convis-0.6.3-py2-none-any.whl

Wheel Details

Project: convis
Version: 0.6.3
Filename: convis-0.6.3-py2.py3-none-any.whl
Download: [link]
Size: 119246
MD5: e6370d435f264d623579af5876b05bda
SHA256: e11adc530b4a39b823d40b4a1eaddb8eedf3504b4822c01a9c62b325778e2eae
Uploaded: 2018-09-04 14:32:31 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.0
Name: convis
Version: 0.6.3
Summary: Convolutional Vision Model
Author: Jacob Huth
Author-Email: jahuth[at]uos.de
Home-Page: https://github.com/jahuth/convis
Download-Url: https://github.com/jahuth/convis/tarball/0.6.3
Keywords: vision model,retina model
Requires-Dist: matplotlib
Requires-Dist: litus
Requires-Dist: numpy
Requires-Dist: future
[No description]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.24.0)
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

RECORD

Path Digest Size
convis/optimizer.py sha256=4DDG8zAjcD1aZIrpp6nnjomMshCiRDjIpgqN5O_8_Q4 6075
convis/misc_utils.py sha256=CU88lXCXk-cTfDOWxn86B6Q7F-ql2s-NkCCMAVN2Pxw 353
convis/samples.py sha256=MkYAi-VdkCNtZ_Iq63P6Su6BprP_mpcuNcIqcQHIdwQ 13178
convis/tests.py sha256=1Y3NppzKjWs4Lph35GbDCLMt-pJir_SAoanPorckGrg 1276
convis/misc_splines.py sha256=dcE5dmcTkKGP6n9FboGEWvUGC7jQBGJZSF_4gDXlU-U 4815
convis/kernels.py sha256=s0fsMy9c00PosEbojod-XVYtCyu7UhRu2hDuUQfs6VA 1835
convis/retina_virtualretina.py sha256=AwN2GOAsoYgrOQXypZfUwOHMSJqSDGGE7tgMdbTev64 30950
convis/variable_describe.py sha256=OQ16iuEdBfe_y5qQit8icH3jDya4OA8inxwrJizAaNE 42081
convis/streams.py sha256=2Sc9SfEJN3fgZaLp-qcgnit3fDX4VXyTMV25n5BjSwM 39717
convis/__init__.py sha256=99wTeGWa--CT0wJJz3s0Uppps8ctVxDt-KvDS6x2zwI 1570
convis/models.py sha256=hSnisXokwoqEQYYFRdlLTI7id70LIIq7MRCfCQsNrjM 35170
convis/utils.py sha256=s1xioN6jxbCOomYOTa_tY2LQYzYr_Ksl2wBq_itKzv4 18238
convis/retina.py sha256=FaOq4xLQU974suSvG4GazMKQqkfPO4zWa7JmbEXMkT4 6995
convis/io.py sha256=ctIKUM9MN_fwISfiJbG5Y41XyTX4iw8-f1DcV1PUkfU 1018
convis/wx_streams.py sha256=liKcwoRflUaEyUntplaiIdQcr8ZdkmxoCb0mMvRMeAc 39634
convis/layers.py sha256=x2oNmaFW28NMBHQMmr9NX58KvfjqOwxJyX7LkzLI4dQ 44
convis/derivalbe_kernels.py sha256=HQWqmxYvwEU1gKa8Tzl0T2o7WDGsS8H5Bjo6zoos_tY 3211
convis/variables.py sha256=9vLVZ7asKOsAZ1tnrpfRIeaHP6dZT6Bq6QAm8EwxrrI 22609
convis/base.py sha256=jfjJiBOzNZriqOxeZeskOYESBnEgjT_PUFl3KP2ZLHc 46884
convis/__main__.py sha256=aIwMfWu6rOZx36jZln0oE7f9ll5jX3dI71do5rjhDrI 4690
convis/o.py sha256=wp41t4SRx1SFwPKIWehCq8pnSCSvPEM6EAFVDIzrwVo 16492
convis/analysis.py sha256=piHuKvPB-nH3ExyBvR2vN5fee1NZVGXwF0pGiX3Hh6c 5164
convis/png.py sha256=z0yheCH2OGgVX80kNPqx4ufxLn2bIqbKsqWnYBqztME 14040
convis/numerical_filters.py sha256=nadakt73EIVGBdfWWCKPT_-uEhRxcvl0bJr-nmCCBZY 10490
convis/theano_utils.py sha256=fNP6DzUl8Xqd5xU3efnMYlqHr0X5p8af_boDkexOW6U 17574
convis/filters/spiking.py sha256=6j06qGaqZ3zFSq-6J9LFpKFMEcE3tf8b6aVJa_3mrEo 18240
convis/filters/simple.py sha256=j6xztheQCN4c7Mzq6rP-FRFeeIYdUWaA5iMuqX0yLrY 295
convis/filters/__init__.py sha256=TYc0riw44iR5bwjFJNzAf2NAGZsguKkZgKg8T6ETs18 31081
convis/filters/retina.py sha256=Ss-g0vMrzMH9J7Udo6JgSpQMDXVHy6JZTu1hduY_Sw8 40206
convis/filters/retina_old.py sha256=k6s1gRKXu5s7YyiYPuHn_P1hsF07ANkbLR--wPc-3yE 39973
convis-0.6.3.dist-info/WHEEL sha256=AvR0WeTpDaxT645bl5FQxUK6NPsTls2ttpcGJg3j1Xg 110
convis-0.6.3.dist-info/top_level.txt sha256=eVel3DPfG3N4jcJ71duxRi_8_XCMtIlEbfpKz1oVM6E 7
convis-0.6.3.dist-info/metadata.json sha256=SAUIkCwCwU1ddvC7BbLpd1YbqG0oxuOFb89PQE1Kv1o 585
convis-0.6.3.dist-info/RECORD — —
convis-0.6.3.dist-info/DESCRIPTION.rst sha256=OCTuuN6LcWulhHS3d5rfjdsQtW22n7HENFRh6jC6ego 10
convis-0.6.3.dist-info/METADATA sha256=b8UgKRRWibGCnYFCJx_TrSTCvmuMyTm6ePtG6eOQu8M 410

top_level.txt

convis