stir-invariance

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0.0 stir_invariance-0.0-py3-none-any.whl

Wheel Details

Project: stir-invariance
Version: 0.0
Filename: stir_invariance-0.0-py3-none-any.whl
Download: [link]
Size: 73049
MD5: 7436d25759f9ea9b69f3276d6bd40316
SHA256: 687912c6a1a705162d9d434948656ad76f4a953f40bdf1bd706b389b21ede96a
Uploaded: 2022-06-23 21:28:58 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: stir-invariance
Version: 0.0
Summary: STIR -- shared invariance measure
Author: Vedant Nanda
Author-Email: vedant[at]cs.umd.edu
Home-Page: https://github.com/nvedant07/STIR
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 4 - Beta
Requires-Dist: torch (>=1.8.1)
Requires-Dist: torchvision (>=0.9.1)
Requires-Dist: numpy (>=1.22.0)
Requires-Dist: scipy (>=1.0.1)
Requires-Dist: tqdm (>=4.56.0)
Requires-Dist: matplotlib (>=3.2.2)
Requires-Dist: matplotlib-venn (>=0.11.6)
Requires-Dist: seaborn (>=0.11.0)
Requires-Dist: joblib (>=0.17.0)
Requires-Dist: dill (>=0.3.3)
Requires-Dist: scikit-learn (>=0.23.2)
Requires-Dist: Pillow (>=9.0.1)
Description-Content-Type: text/markdown
License-File: LICENSE.md
[Description omitted; length: 2836 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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stir/CKA_pytorch.py sha256=fdFKDbXtWJYn03VcGVgGpFRX9oYgxVnlB8rZo7B0Ajo 2145
stir/__init__.py sha256=7QszH3FnlppnSopGTRygIEEeMHwKDGLn3Jqz2xhU4mg 26
stir/helper.py sha256=zuD8jFyb7SsTLG_zSThPBNa7apHCvcFBM1kWU_EW4dc 18800
stir/plot_helper.py sha256=-KH6tzceXxDOTmlnxAdYJrejhNecgEjTEmkbEzBsoV0 32509
stir/stir.py sha256=AWpMMQNzv_d2UXHHUXg_DoKhEjl3raebpWQ8JtRaoPs 8740
stir/attack/attack_steps.py sha256=G5nMUrn2nqh4g8MAksBsrUehgwzcQNgq8yP9JCnv8Ts 6082
stir/attack/attacker.py sha256=LqFCM5gBoh9yrdKRD0EU0PBZFT6qBwgO35x4wqYXyPE 15979
stir/attack/losses.py sha256=qEiG0qiHFN4VI3vhsya4CyCyQYMHNF6e1tvXp0MVtQA 9650
stir/model/data_augmentation.py sha256=oPw0x-bg2V6ScW_0SgqDtw_LPeRemxDU__crSvnadzw 3812
stir/model/dataset_subsampler.py sha256=-faVA62HeMOMHjutLWfJD4b4iwCxVchejYF7xVmAhr8 1621
stir/model/datasets.py sha256=IwFyycv4pdImiWmRG5yd1O4gwRepb2xURah_SOEbTgw 22327
stir/model/defaults.py sha256=muKoeBdKCPhndTDNxNN32qPJ6utMqHwHKWMy7maLDXk 7798
stir/model/loaders.py sha256=No29uZXXco567jKv8R_co5E5I0A0AqueqoX07zyL8c8 12529
stir/model/model_utils.py sha256=yLZrq37gnYiVKagOaT0UCeY3IvJehoyiUvY53h5UyrQ 8475
stir/model/train.py sha256=GPYhBvZZe9JpM6mj8CKAoI281CrKp4fo_t0CYeXpLGM 28094
stir/model/train_model.py sha256=guknYadRNCRuv1qYmkrFAuZG_zRpKokKKfQhNhywigc 3482
stir/model/cifar_models/__init__.py sha256=DgPonv4NIoxZT42mlovyquWXcW8gO5yVpDzwYLaG5nU 41
stir/model/cifar_models/models.py sha256=O33s8rXCxG546Kqug5zDqtRCIytZITxXQtkLp7xUsnk 5415
stir/model/cifar_models/resnet.py sha256=ok5O2FaAiAsL45xx8iBVE3VgZAHXxTlqUN3HCK3_Q6g 10835
stir/model/cifar_models/vgg.py sha256=oZGj3NDeF9DscOi6u7IvBnSAc-0bDb_Xt7r4ikpCLVs 3454
stir/model/tools/constants.py sha256=QL77YJn2xrfnQbF7MjbG7c4ncEhfCC7cUxzJc4PK4RI 810
stir/model/tools/custom_modules.py sha256=zAjCFKZ9foi9zY2lHal2onMbY-YpYOvLYvykvOG8tfE 678
stir/model/tools/folder.py sha256=eK3-7mBcoH9hQQV7EDTZnIyijv4vWOJbQATTdnsKKNc 8193
stir/model/tools/helpers.py sha256=1RfdDIO6RfGrLkoJAuxU0AoynEXh8CTvNGg0NY1JUhI 6669
stir/model/tools/image_object.py sha256=eeWtWA8YqY2PsYuatxG2wcyEeO4NjJCbxSfrSI2ydKY 416
stir/model/tools/openimgs_helpers.py sha256=We9j04DlYsE5IJs3LsyQZy9wp8mYem311wXAsRCzPaQ 8368
stir_invariance-0.0.dist-info/LICENSE.md sha256=O9sF6QuY3M_gGX2fxWO2EewrHPSYO0LiC73tkPNdhjY 11342
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stir_invariance-0.0.dist-info/top_level.txt sha256=wrQPUBm6abyTcJAhlJZHm_e02hpc58b9_8BnPAJvLVo 5
stir_invariance-0.0.dist-info/RECORD

top_level.txt

stir