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

This version

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

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-0.0.31.tar.gz (6.4 kB view details)

Uploaded Source

Built Distribution

egnn_pytorch-0.0.31-py3-none-any.whl (7.1 kB view details)

Uploaded Python 3

File details

Details for the file egnn-pytorch-0.0.31.tar.gz.

File metadata

  • Download URL: egnn-pytorch-0.0.31.tar.gz
  • Upload date:
  • Size: 6.4 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-0.0.31.tar.gz
Algorithm Hash digest
SHA256 8f4b36c4671e4dc33ddd433767c5ed70a89a164c75531f7e52096c871c240a46
MD5 a837215abbf3b5743d0bc94daad8ad8e
BLAKE2b-256 256634b8caafcc943e74fcf21a7e05a54b8dfe4f94af1a57e1abd48ae61f0ee5

See more details on using hashes here.

Provenance

File details

Details for the file egnn_pytorch-0.0.31-py3-none-any.whl.

File metadata

  • Download URL: egnn_pytorch-0.0.31-py3-none-any.whl
  • Upload date:
  • Size: 7.1 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-0.0.31-py3-none-any.whl
Algorithm Hash digest
SHA256 a3af4c382bfe7164a5cf2d82275c682397b0305f49588d21ace3e177b935ce68
MD5 ede13bbe1e11262f715083990078eea7
BLAKE2b-256 a6ecbf1b4770e71f7d9bbb335a594805bb84086da99515e3b86bd33645b4cf4b

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