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

This version

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-0.0.30.tar.gz (6.4 kB view details)

Uploaded Source

Built Distribution

egnn_pytorch-0.0.30-py3-none-any.whl (7.1 kB view details)

Uploaded Python 3

File details

Details for the file egnn-pytorch-0.0.30.tar.gz.

File metadata

  • Download URL: egnn-pytorch-0.0.30.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-0.0.30.tar.gz
Algorithm Hash digest
SHA256 56bdd9c4458d16f26c987a2d4d07e35884841ed1b2473fde2ef7070f48c5428b
MD5 2fd40cc4b48a587735cb1ecf7d3dc4de
BLAKE2b-256 7cf760602416f061ac6e22b1a5ebcf55907abd8ce86cc814860f0d198a6903cc

See more details on using hashes here.

Provenance

File details

Details for the file egnn_pytorch-0.0.30-py3-none-any.whl.

File metadata

  • Download URL: egnn_pytorch-0.0.30-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-0.0.30-py3-none-any.whl
Algorithm Hash digest
SHA256 5080c1811c723b4b69c811b35cd18a69a578c9838cd3a2b4995a4b146bf673e4
MD5 8fbea42b2b36962113640a318f70f893
BLAKE2b-256 7fc2d0d9a8d17434fd1aceba2446ce59864a2d012f7003fb5917cdb584310658

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