swfilter: A Python implementation of the sliced-Wasserstein-based anomaly detection method from the work of Julien Pallage et al.
Project description
For more information, please visit the GitHub repository: jupall/swfilter
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
swfilter-0.1.tar.gz
(7.0 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
File details
Details for the file swfilter-0.1.tar.gz.
File metadata
- Download URL: swfilter-0.1.tar.gz
- Upload date:
- Size: 7.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
179547b564f509fc6327377190c02a246375949549367df4d9023836c4cf76fa
|
|
| MD5 |
69242078705e8ae0116115c430dd015b
|
|
| BLAKE2b-256 |
f84d68168f20073e48dd1b19b25556665eb3f156e0107ddc7083c9808315b033
|
File details
Details for the file swfilter-0.1-py3-none-any.whl.
File metadata
- Download URL: swfilter-0.1-py3-none-any.whl
- Upload date:
- Size: 5.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
38f490dbabbac0548d7d1d907946b55c93d3bac8499428eef3de807620d62af3
|
|
| MD5 |
b3391149a2aa73b7b65848b1a05cdf84
|
|
| BLAKE2b-256 |
13c47ea93323b2a4224bb0889cc354e6638b3496a79138d363a993d66d66d50a
|
