A framework for hyperbolic learning in PyTorch
Project description
The author of this package has not provided a project description
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
hypll-0.1.1.tar.gz
(24.4 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
hypll-0.1.1-py3-none-any.whl
(34.6 kB
view details)
File details
Details for the file hypll-0.1.1.tar.gz.
File metadata
- Download URL: hypll-0.1.1.tar.gz
- Upload date:
- Size: 24.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6d76aa088c9ad33f48ec0dbec5cf3ec5bb4bfa60b64104e740aa0d7a24a087ec
|
|
| MD5 |
f15d5bc58422c25306621c7fe587fcf2
|
|
| BLAKE2b-256 |
f41668078fde03689d2d64067d25b6a0bb68299858ccd1dd70ee79d34fab02f4
|
File details
Details for the file hypll-0.1.1-py3-none-any.whl.
File metadata
- Download URL: hypll-0.1.1-py3-none-any.whl
- Upload date:
- Size: 34.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
633943828aba9864fc0504f4c14949f902afdfdf48736c3cde055a0faf95781b
|
|
| MD5 |
1a70f3a0212b03011e97f687f22c2591
|
|
| BLAKE2b-256 |
79a45792c8e4c45c1aa53f83f1a2ddf395f8812c65499bab114c45392cce8b40
|
