Equiformer - SE3/E3 Graph Attention Transformer for Molecules and Proteins

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 , transformers , attention mechanism , equivariance , molecules , proteins
Classifiers
Report project as malware

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 , transformers , attention mechanism , equivariance , molecules , proteins
Classifiers

Release history Release notifications | RSS feed

0.5.4

0.5.3

0.5.2

0.5.1

0.4.0

0.3.10

0.3.9

0.3.8

0.3.7

0.3.6

0.3.5

0.3.4

0.3.3

0.3.2

0.3.1

0.3.0

0.2.11

0.2.10

0.2.9

0.2.8

0.2.7

0.2.6

0.2.5

0.2.4

0.2.3

0.2.2

0.2.1

0.2.0

0.1.2

0.1.1

0.1.0

0.0.36

0.0.35

0.0.34

0.0.33

0.0.32

0.0.31

0.0.30

This version

0.0.29

0.0.27

0.0.26

0.0.25

0.0.24

0.0.23

0.0.22

0.0.21

0.0.19

0.0.18

0.0.17

0.0.16

0.0.15

0.0.14

0.0.12

0.0.11

0.0.9

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

equiformer-pytorch-0.0.29.tar.gz (19.1 kB view details)

Uploaded Source

File details

Details for the file equiformer-pytorch-0.0.29.tar.gz.

File metadata

  • Download URL: equiformer-pytorch-0.0.29.tar.gz
  • Upload date:
  • Size: 19.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for equiformer-pytorch-0.0.29.tar.gz
Algorithm Hash digest
SHA256 af4ca458cc49a416f9debf6b8fc99d201a7f06849ca1478a38a521548cfbf76d
MD5 f14d7c6196c468562a4ed2e02da551c3
BLAKE2b-256 5a4b9fab276169443d9340435c174b36e38229cf1ecbcd228873d602debedd89

See more details on using hashes here.

Supported by

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