Wheelodex » Projects » block.bootstrap.pytorch » block.bootstrap.pytorch-0.1.5-py3-none-any.whl

block.bootstrap.pytorch

View on PyPI — Reverse Dependencies (1)

0.1.5 block.bootstrap.pytorch-0.1.5-py3-none-any.whl

Wheel Details

Project: block.bootstrap.pytorch
Version: 0.1.5
Filename: block.bootstrap.pytorch-0.1.5-py3-none-any.whl
Download: [link]
Size: 51548
MD5: 3f46557fc5c1ad1af4939540e708114b
SHA256: e42395d4d297e4b269a141e96e479835e3851e6b721d11451d1968057806db20
Uploaded: 2019-06-26 22:48:55 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: block.bootstrap.pytorch
Version: 0.1.5
Summary: BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection
Author: Remi Cadene
Author-Email: remi.cadene[at]icloud.com
Home-Page: https://github.com/cadene/block.bootstrap.pytorch
Keywords: pytorch block vqa vrd visual question answering visual relationship detection relation bootstrap deep learning aaai
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.7
Requires-Dist: bootstrap.pytorch
Requires-Dist: skipthoughts
Requires-Dist: pretrainedmodels
Requires-Dist: opencv-python
Requires-Dist: tqdm
Requires-Dist: cffi; extra == "mcb"
Requires-Dist: pytorch-fft; extra == "mcb"
Requires-Dist: pytest; extra == "test"
Provides-Extra: mcb
Provides-Extra: test
Description-Content-Type: text/markdown
[Description omitted; length: 30254 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.33.4)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
block/__init__.py sha256=t0lRx2Oq3uSeFHzhi5ng3TkVM6R90HmSu7jhKtMRLGE 116
block/__version__.py sha256=DQiXHqQ3C29f_--ye7aVMDPnITrl9M0zMU42LYY48zE 22
block/compare_tdiuc_test.py sha256=lj8iaXRHvvQ1S3aMWMlr5IIrSf8myuwn4F_tgU04hEA 851
block/compare_tdiuc_val.py sha256=EVAv0nvIYEbmGJ8fQo65pN5ov4qtctOHqrDXlGafYsc 1010
block/compare_vqa2_val.py sha256=ivDSK4pdcCNPJTmgci-18WKOBnvdleZWls8LcaUTUgA 882
block/compare_vrd_test.py sha256=1QrDI-3hY6ngYtLwFzdZr8ELpnsa9YvPDuMenPHzCHw 918
block/compare_vrd_val.py sha256=7SILZDAr-FQhJpCQzcr6pb-qOcppmEvSb6JExOqglIU 816
block/datasets/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
block/datasets/factory.py sha256=c3JShIsgQRBE4X9zPInM7y0Pu4ftIX_eXP8gO60LMKU 3630
block/datasets/tdiuc.py sha256=ZIgymckFptd7bAx-Y2AFio5Ukkrr_xE2dgMFdIgZyC8 3776
block/datasets/vg.py sha256=NRBIHBOHK-xCHTKroSzkBs44BaqBqz_nZUw7n9tGEh4 7130
block/datasets/vqa2.py sha256=Jj4WiMP8OrhSeyvXFDgB4UBCySqUn35pLzSkVk0YxG0 5449
block/datasets/vqa2vg.py sha256=BZhLo4xZbxi9GqylC2I0tj1yxdUtkwbrUOxyonLwVlU 1935
block/datasets/vqa_utils.py sha256=kQULQ0GUp3hUwAVv6jc5LWafQplDN5hnckEmU8tNBuQ 23884
block/datasets/vrd.py sha256=xvACtT_M6ofkc_Tsn6Aj0tlPDf-sXJHsGVonzpA0GQQ 17723
block/models/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
block/models/criterions/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
block/models/criterions/factory.py sha256=8AgozyAEPuk9tW_rc7RRpBb5gmARuctFtjKBGUCQZ90 606
block/models/criterions/kl_divergence.py sha256=eQApCyeLVnwGm1CUAMgfH1FicN4PuIF6xoiK0vkIJ6U 912
block/models/criterions/vqa_cross_entropy.py sha256=imsM5nni4KZQd1RUwR5Xp8tRkwCoUC-xSmsTrP5hLi0 362
block/models/criterions/vrd_bce.py sha256=gHJB7bvYhTQ3cgHmdZIwxxF8JOnsmyHxumX794tlIEM 366
block/models/metrics/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
block/models/metrics/compute_oe_accuracy.py sha256=L3KdgGqM8h2KpuxLnC1p7yOFWmFFLwCp-knzKwrKYig 3576
block/models/metrics/factory.py sha256=RXwYg-MxAPi3S82eKApDmdYxWcmaLxsaSgjf9YNb_0k 1743
block/models/metrics/vqa_accuracies.py sha256=0ErlIwgvYrL8IJkADUhMQlLOEqG607A-zaAXVEDxRoI 9261
block/models/metrics/vqa_accuracy.py sha256=jaykswNUecpd6eiU0Rk7cNu50W0gP6iVqRtDKfdyhS4 622
block/models/metrics/vrd_predicate.py sha256=OyXCurol7qcyI2mX3T32s1MeRsLZZgrqG-CwtEIK1aE 4558
block/models/metrics/vrd_rel_phrase.py sha256=41PviL3fLDPWaDLhDin3z6Q7uQqfO0jI4Ovk6DRmxfk 4161
block/models/metrics/vrd_utils.py sha256=IQ0MhzlbN-VIDKUyy6r6WbTxOBaTJ_0rt04HpZzpjS8 6597
block/models/networks/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
block/models/networks/factory.py sha256=UkAzl9L4-9iO4WE95i6Qm5ocGlDYQesFzNuwVAqzXM8 941
block/models/networks/mlp.py sha256=cnDBnt_9HQ3Esl1BrWrGhbP-TnJgmqNhtMW1lPV_Qkg 945
block/models/networks/vqa_net.py sha256=Z4dggQtc6Qqcspf3DB8wNYzFJRzArlk3aeT0lWA7fWo 5284
block/models/networks/vrd_net.py sha256=WEnFWOglV7JGM7lhQLpqJZemIk9W1AROZDEXqe0buSo 1391
block/models/networks/fusions/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
block/models/networks/fusions/compactbilinearpooling.py sha256=2i6Dkmc3xSVrK2PddE_RRh5XevXeRGS53XzslmswvoY 9940
block/models/networks/fusions/factory.py sha256=OF7oBvl-h3bmPNCh2w9ezr2yM8kgHGhqfphmhXfiL9Q 1145
block/models/networks/fusions/fusions.py sha256=9Gcc9wFyweFoVCZzQROzZNXQUQh2rvKNbet68xs4XOQ 21208
block/optimizers/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
block/optimizers/factory.py sha256=5rZ1P3yhV_ZoS4mNflXGqqwzyhn1wBJYg6PXkQXtOAg 1137
block/optimizers/lr_scheduler.py sha256=8_P72qMGFw2VDK-obeqnibaVYqojgNlRSIuXpySz6u4 4534
block.bootstrap.pytorch-0.1.5.dist-info/LICENSE.txt sha256=LMVZZ0S_LnNa0eVR5PHu1FyqmARW7MHWQiWvz5yTon8 1561
block.bootstrap.pytorch-0.1.5.dist-info/METADATA sha256=3jLyuqQKEv2gJl0B7PNASXruOD18m7nUzdPIw4DjjcQ 31305
block.bootstrap.pytorch-0.1.5.dist-info/WHEEL sha256=S8S5VL-stOTSZDYxHyf0KP7eds0J72qrK0Evu3TfyAY 92
block.bootstrap.pytorch-0.1.5.dist-info/top_level.txt sha256=kKewj3ahoz3D5Mnezzn_k6iJGPH0b9Gz-_Xt1hnXfcY 6
block.bootstrap.pytorch-0.1.5.dist-info/RECORD — —

top_level.txt

block