Fast GPU-based equivariant operations and convolutional layers.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for nvidia from gravatar.com nvidia

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache 2.0
  • Author: NVIDIA Corporation
  • Requires: Python >=3.9
Classifiers
Report project as malware

Project description

cugraph-equivariant

Description

cugraph-equivariant library provides fast symmetry-preserving (equivariant) operations and convolutional layers, to accelerate the equivariant neural networks in drug discovery and other domains.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for nvidia from gravatar.com nvidia

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache 2.0
  • Author: NVIDIA Corporation
  • Requires: Python >=3.9
Classifiers

Release history Release notifications | RSS feed

This version

24.6.1

24.6.0

24.4.0

24.2.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cugraph_equivariant_cu12-24.6.1.tar.gz (841 Bytes view details)

Uploaded Source

File details

Details for the file cugraph_equivariant_cu12-24.6.1.tar.gz.

File metadata

File hashes

Hashes for cugraph_equivariant_cu12-24.6.1.tar.gz
Algorithm Hash digest
SHA256 987436769236ea1b37eb73a5db150b6e4776cdb866c2ec18a522232a2ba31b7a
MD5 99a890a47a84768faca5cc8d2e66bef7
BLAKE2b-256 88c8d2c3b8c1445dd82c96f63887b36ed1433756c634dfe2b7c8a5ad283d3f54

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