Counter Propagation based on Prototorch.
Project description
About
This is the implementation of Counterpropagation Models based on Prototorch by SICIM.
How to install and use
To install use:
pip install counterprop-prototorch
This will install the package, as well as the needed additions.
For a use-case scenario please have a look a the example.py file.
Contact
bugs, fixes, ideas etc. can be send to trebuhcsynnor@gmail.com
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
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 counterprop_prototorch-1.0.3.tar.gz.
File metadata
- Download URL: counterprop_prototorch-1.0.3.tar.gz
- Upload date:
- Size: 8.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.11.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
847ccb72cb817b3f05aecf0c3ac8c5e77c3f47242ba8823f695b26985cbb18e4
|
|
| MD5 |
339ca159b8d26616c7c6433f933f2c59
|
|
| BLAKE2b-256 |
964b1cbf65b74e70344a8c8f7ad5fc0aea9fe25e0c935ba595a1f6cc4e94cfe5
|
File details
Details for the file counterprop_prototorch-1.0.3-py3-none-any.whl.
File metadata
- Download URL: counterprop_prototorch-1.0.3-py3-none-any.whl
- Upload date:
- Size: 10.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.11.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c4a3f6988e3e0c562fc38ffa2aeaf4d41e36c53cbf5f9cba0c9f12c65344a614
|
|
| MD5 |
a737571081172309a2de6380a5d11052
|
|
| BLAKE2b-256 |
80dde772de0e90f93b3f753383d602cb62de0fae370acb3562409013711b93ce
|
