E(n)-Equivariant Graph Neural Network - Pytorch

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for lucidrains from gravatar.com lucidrains

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Phil Wang, Eric Alcaide
  • Tags artificial intelligence, deep learning, equivariance, graph neural network
Classifiers

Project description

The author of this package has not provided a project description

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for lucidrains from gravatar.com lucidrains

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Phil Wang, Eric Alcaide
  • Tags artificial intelligence, deep learning, equivariance, graph neural network
Classifiers

Release history Release notifications | RSS feed

0.2.7

0.2.6

0.2.5

0.2.4

0.2.3

0.2.2

0.2.1

0.2.0

0.1.12

0.1.11

0.1.10

0.1.9

0.1.8

0.1.7

0.1.6

0.1.5

0.1.4

0.1.2

0.1.1

0.1.0

0.0.46

0.0.44

0.0.43

0.0.42

0.0.41

0.0.40

0.0.39

0.0.38

0.0.37

0.0.36

0.0.35

0.0.34

0.0.33

0.0.32

0.0.31

0.0.30

0.0.29

0.0.28

0.0.27

0.0.26

0.0.25

0.0.24

0.0.23

This version

0.0.22

0.0.21

0.0.20

0.0.19

0.0.18

0.0.17

0.0.16

0.0.15

0.0.14

0.0.12

0.0.11

0.0.10

0.0.9

0.0.8

0.0.7

0.0.6

0.0.5

0.0.4

0.0.3

0.0.2

0.0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

egnn-pytorch-0.0.22.tar.gz (6.1 kB view details)

Uploaded Source

Built Distribution

egnn_pytorch-0.0.22-py3-none-any.whl (6.7 kB view details)

Uploaded Python 3

File details

Details for the file egnn-pytorch-0.0.22.tar.gz.

File metadata

  • Download URL: egnn-pytorch-0.0.22.tar.gz
  • Upload date:
  • Size: 6.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for egnn-pytorch-0.0.22.tar.gz
Algorithm Hash digest
SHA256 490806b4c3c6ce137d2a5df1c41a30e1ad321b1cab80b888c64170884b0e4a97
MD5 7421801d52c0a7c0794251e55b6ce894
BLAKE2b-256 8a023d3824bcb4dde893070f4c449ff769b04d4eabc7475aab0d2b980a30216b

See more details on using hashes here.

Provenance

File details

Details for the file egnn_pytorch-0.0.22-py3-none-any.whl.

File metadata

  • Download URL: egnn_pytorch-0.0.22-py3-none-any.whl
  • Upload date:
  • Size: 6.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for egnn_pytorch-0.0.22-py3-none-any.whl
Algorithm Hash digest
SHA256 71c6c686a5c6bcbe2a1f704e7541afe900a4c1a3dba29d7a4e315b0e29f57a79
MD5 8774b4ea6facc90d890610014262cb8e
BLAKE2b-256 6628f22c871846660cab282f1cf0239ceb90788f0bdaaf13e6a6d471c61664ad

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page