Fast GPU-based equivariant operations and convolutional layers.
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
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_cu12-24.6.0.tar.gz
(842 Bytes
view details)
File details
Details for the file cugraph_equivariant_cu12-24.6.0.tar.gz
.
File metadata
- Download URL: cugraph_equivariant_cu12-24.6.0.tar.gz
- Upload date:
- Size: 842 Bytes
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9942c981217e6f48b27e3aa2c4f53f52f5a9422107368247498072824be179bc |
|
MD5 | 6f136412d1fad9372c3f1a370ca9b8cc |
|
BLAKE2b-256 | 609c7b47f1f4e62d4d9fbe39f9dd2077a930ab841acbfac5b01cc5d06499e6a5 |