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
  • 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
  • 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

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

This version

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-0.0.7.tar.gz (3.4 kB view details)

Uploaded Source

Built Distribution

egnn_pytorch-0.0.7-py3-none-any.whl (3.9 kB view details)

Uploaded Python 3

File details

Details for the file egnn-pytorch-0.0.7.tar.gz.

File metadata

  • Download URL: egnn-pytorch-0.0.7.tar.gz
  • Upload date:
  • Size: 3.4 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/4.58.0 CPython/3.9.1

File hashes

Hashes for egnn-pytorch-0.0.7.tar.gz
Algorithm Hash digest
SHA256 1861ea7d107c5746bb91a9abada61e5893a690ce20ba68e6c5b306cf34c701f2
MD5 fc4fe37d87c51802a7f93cb912519ad3
BLAKE2b-256 4412d539e4a81894ee76135c8b70bdb80703de4d66297c22d5521745329f7627

See more details on using hashes here.

Provenance

File details

Details for the file egnn_pytorch-0.0.7-py3-none-any.whl.

File metadata

  • Download URL: egnn_pytorch-0.0.7-py3-none-any.whl
  • Upload date:
  • Size: 3.9 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/4.58.0 CPython/3.9.1

File hashes

Hashes for egnn_pytorch-0.0.7-py3-none-any.whl
Algorithm Hash digest
SHA256 c0aa98fbca755e331c1856b140ca6c02e6ae6f494e04fadaa4309c2b6ebf0d19
MD5 b38b240df0327a3ed3ee74a0ac33516d
BLAKE2b-256 c09e6579afdf3910d43a6dcb2540995f4ffc8578c5431202121a668104e28d6b

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