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lapgm

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0.1.5

lapgm-0.1.5-py3-none-any.whl

Wheel Details

Project:	lapgm
Version:	0.1.5
Filename:	lapgm-0.1.5-py3-none-any.whl
Download:	[link]
Size:	17615
MD5:	`d6165ae9d0584eec13fefdfb1655e1b9`
SHA256:	`d0610f4184e815e1b42e6b9c173b268ac96d9962b8701f719c5d568829369133`
Uploaded:	2022-11-27 20:30:30 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	lapgm
Version:	0.1.5
Summary:	A spatially regularized Gaussian mixture model for MR bias field correction and intensity normalization.
Author:	Luciano Vinas
Author-Email:	lucianovinas[at]g.ucla.edu
Home-Page:	https://github.com/lucianoAvinas/lapgm
License:	MIT
Requires-Python:	>=3.10
Requires-Dist:	numpy (>=1.20)
Requires-Dist:	scipy
Requires-Dist:	scikit-learn
Requires-Dist:	matplotlib
Requires-Dist:	cupy-cuda11x; extra == "gpu"
Provides-Extra:	gpu
Description-Content-Type:	text/markdown
License-File:	LICENSE

[Description omitted; length: 3629 characters]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.38.4)
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
lapgm/__init__.py	sha256=PugbsUCISItBM1P1GU_LwVNVSWIxm6eIFQhhrscj_ms	6252
lapgm/bias_calc.py	sha256=5UaLkXIAurUP75J3WMm8hlxQuEIF2_VaQrerN0XLbWM	4475
lapgm/cupyx_mvn.py	sha256=sA6e_1kF5dPxX9DME5etEWJ7ELd0qHGjLa05zCVZqzw	1759
lapgm/lapgm_estim.py	sha256=hBxGKFBDF4iQdfIkw8mAzgBFERbgAHiAxE3c-UNEras	9931
lapgm/laplacian_routines.py	sha256=ibcPMeGS_PAsLgPIv2Tt41mQSQL7uL-YHOHhrl5Orzo	5815
lapgm/param_setup.py	sha256=ImmYfpChNXa6n5pKc7UQ_P4ZZg_Vy8VFVd1vR6pQREA	9304
lapgm/typing_details.py	sha256=YQuX48Sr8X7qIA-iSGFXKkyP8mR4FRg8vSZE-0ezw8k	673
lapgm-0.1.5.dist-info/LICENSE	sha256=u8QZ-XyfGVlTbWCAAlHGU0kaJiWcVL9Q1hDYF87d28I	1069
lapgm-0.1.5.dist-info/METADATA	sha256=mZQHygglxV9eANnLynTx_SuyXH6Wu4-uf8Rlj48a-cs	4172
lapgm-0.1.5.dist-info/WHEEL	sha256=2wepM1nk4DS4eFpYrW1TTqPcoGNfHhhO_i5m4cOimbo	92
lapgm-0.1.5.dist-info/top_level.txt	sha256=CoigSzPzrcHSRUYzcOxnnE5q-e64vuowBZGe2sHQy60	6
lapgm-0.1.5.dist-info/RECORD	—	—

top_level.txt

lapgm