Unconstrained Monotonic Neural Networks and Autoregressive Monotonic Flows on cpu/cuda/mps.
Project description
The author of this package has not provided a project description
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
UMNN-1.7.tar.gz
(9.7 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
UMNN-1.7-py3-none-any.whl
(13.3 kB
view details)
File details
Details for the file UMNN-1.7.tar.gz.
File metadata
- Download URL: UMNN-1.7.tar.gz
- Upload date:
- Size: 9.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e2311de9296d25a433727b0648fb364e3c108235ca66aa80b2d4a3900c9731b9
|
|
| MD5 |
51d22b6dcf0548d06f5c379a1135c49c
|
|
| BLAKE2b-256 |
ed87bf89616d6e8d2f80238c504bd7452944078787a6fbe945b1931a5fc39533
|
File details
Details for the file UMNN-1.7-py3-none-any.whl.
File metadata
- Download URL: UMNN-1.7-py3-none-any.whl
- Upload date:
- Size: 13.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d6ca3bc02f07da71afe28c0a869ea1345e0ff6772356fa9bcd10b03af97b9225
|
|
| MD5 |
015b892c6e2352152f4feefea18fefb0
|
|
| BLAKE2b-256 |
719e57fcf1e8f631926c0f633e252beaa8e556dd0472b988b1f69262e761e448
|
