genni

View on PyPIReverse Dependencies (0)

1.0.3 genni-1.0.3-py3-none-any.whl

Wheel Details

Project: genni
Version: 1.0.3
Filename: genni-1.0.3-py3-none-any.whl
Download: [link]
Size: 19064
MD5: 4a7e4bb563ade5165a9f1f3fa1fa5042
SHA256: 7626d3017b149c90d8b64223a50c9cbb0fdc44ba749ebb291619c50503264c63
Uploaded: 2020-11-30 09:04:16 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: genni
Version: 1.0.3
Summary: GENNI: Visualising the Geometry of Equivalences for Neural Network Identifiability
Author: Arinbjörn Kolbeinsson
Maintainer: Isak Falk
Maintainer-Email: ucabitf[at]ucl.ac.uk
Home-Page: https://github.com/Do-Not-Circulate/GENNI_public
Project-Url: Repository, https://github.com/Do-Not-Circulate/GENNI_public
License: MIT
Keywords: ml,visualisation,neural-networks,diffgeom,pytorch
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.8,<3.9
Requires-Dist: matplotlib (<4.0.0,>=3.3.2)
Requires-Dist: numpy (<2.0.0,>=1.19.4)
Requires-Dist: pandas (<2.0.0,>=1.1.4)
Requires-Dist: plotly (<5.0.0,>=4.12.0)
Requires-Dist: pyyaml (<6.0.0,>=5.3.1)
Requires-Dist: ray[tune] (<2.0.0,>=1.0.0)
Requires-Dist: seaborn (<0.12.0,>=0.11.0)
Requires-Dist: tensorboard (<3.0.0,>=2.3.0)
Requires-Dist: torch (<2.0.0,>=1.7.0)
Requires-Dist: torchvision (<0.9.0,>=0.8.1)
Requires-Dist: tqdm (<5.0.0,>=4.51.0)
Requires-Dist: umap_learn (<0.5.0,>=0.4.6)
Description-Content-Type: text/markdown
[Description omitted; length: 3005 characters]

WHEEL

Wheel-Version: 1.0
Generator: poetry 1.0.10
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
genni/__init__.py sha256=LaoKqY_n44S6x2Ay2wKAencilkPkMhgXts8zTP2BZlU 76
genni/data_getters.py sha256=MHih6ou7hnDK6qMmua7l9KAItiFBo_DcyXmE4mFS3rw 1491
genni/experiment.py sha256=rEmDff3kSWJqAqEI1BxE0_3Nki3ir0LmfSP9vfLbpI0 16000
genni/griding/__init__.py sha256=KaKfYIC2p3utGN1NLPS90jCBSzbqtbY7DMCtv781Qug 23
genni/griding/get_grid.py sha256=gBZfPPGwpBv2m-hhVWX-UMyGhLBWbFx5nckHZkbPNyk 2395
genni/griding/interpolation.py sha256=NTPLU3k5KM_uzA2G0mInE15iy-eR2kKg_F2lE0WM8cU 3148
genni/griding/stats_plotting.py sha256=3e19R5wc2ZcN9YnJwUqmF6ccikt1Laq22JPzzyOybQU 3538
genni/nets/Nets.py sha256=WirFNRVyIlp7P3CkWOO8WE5mWqV1KULmWLKsljzdcfY 5427
genni/nets/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
genni/save_load.py sha256=Tn3uy9lx5NnbkCCQyW1LNUBqRhfCf9NgtSfgFIcNaoY 5609
genni/training.py sha256=Cd4I7C49DPSSBumbhrxjC2V4gDiQt5w7uFuGlZGpjcM 5834
genni/training_utils.py sha256=mZCpGGpnN6t5LEWOO2sg8WTIbvCk9lkfiuuZAdPNi8k 2398
genni/utils.py sha256=a5fd276kqKctvPG2h62OBwZMM5o23BVH9aCxrGb22uo 3098
genni-1.0.3.dist-info/LICENSE sha256=yncu0GrbcfLjJhW8_bNtfp-a3cjrGuUkMwHad5FBfvY 1150
genni-1.0.3.dist-info/WHEEL sha256=Q99itqWYDhV793oHzqzi24q7L7Kdiz6cb55YDfTXphE 84
genni-1.0.3.dist-info/METADATA sha256=Ohga6rRNxmEgvZhu9eF07umbF_JdKc0kdC1EWIdMpkQ 4233
genni-1.0.3.dist-info/RECORD