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

This version

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

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-0.2.7.tar.gz (13.8 kB view details)

Uploaded Source

Built Distribution

egnn_pytorch-0.2.7-py3-none-any.whl (12.2 kB view details)

Uploaded Python 3

File details

Details for the file egnn-pytorch-0.2.7.tar.gz.

File metadata

  • Download URL: egnn-pytorch-0.2.7.tar.gz
  • Upload date:
  • Size: 13.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for egnn-pytorch-0.2.7.tar.gz
Algorithm Hash digest
SHA256 170f63833993a77aa3be9e81d7bfc7c178873b9e8d0fd63aa43167d4b4352e65
MD5 2f264a4dd25574d671f9d29abbbf4c03
BLAKE2b-256 eaa68a61a1b7209515aa9feaba1646d103a54fc76f2c45e8890c75648d1ccc9e

See more details on using hashes here.

File details

Details for the file egnn_pytorch-0.2.7-py3-none-any.whl.

File metadata

  • Download URL: egnn_pytorch-0.2.7-py3-none-any.whl
  • Upload date:
  • Size: 12.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for egnn_pytorch-0.2.7-py3-none-any.whl
Algorithm Hash digest
SHA256 f00cc1239f5c36532c12b490811e93ddc34d3779d25414d2d91f055d35bcbd00
MD5 a669bf4224387921fd8f358b348de73b
BLAKE2b-256 1eb59a0036e8ab1df09b8c40e78d33fd605e9fdc134df0514166e721f42f6944

See more details on using hashes here.

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