Package for combining traditional and adversarial learning.
Project description
AdvSegLearn
Descriptor
This package creates an easy to use api for training models on small datasets with adversarial learning. Important classes are:
- Mutliclass_dataset - allows for both paired and unpaired images to be loaded, with built in support for initalized data augmentation and lazy loading data augmentation.
- train_GAN - provides api to easily load in different models, datasets and loss functions to the model. Subclassing allows for easy modification of the training loop.
- semi_supervised_loss - a loss function for the semisupervised training loop.
- adversarial_loss - a loss function for hte unsupervised training loop.
License
Probably the MIT License
Project details
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 advseglearn-0.1.0.tar.gz.
File metadata
- Download URL: advseglearn-0.1.0.tar.gz
- Upload date:
- Size: 2.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ea6cfa4e3b2f76ecfa7616037e230602724085fcc8f18b0aaff016136b936a29
|
|
| MD5 |
a036511410c9ffe45e29e7267fd1e4de
|
|
| BLAKE2b-256 |
63b33542eab5fd7dcd31a5f09d6e78a6b71ff1f7c3b7fe9e1180aa428ecd709e
|
Provenance
The following attestation bundles were made for advseglearn-0.1.0.tar.gz:
Publisher:
python-publish.yml on cwru-sdle/AdvSegLearn
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
advseglearn-0.1.0.tar.gz -
Subject digest:
ea6cfa4e3b2f76ecfa7616037e230602724085fcc8f18b0aaff016136b936a29 - Sigstore transparency entry: 195628127
- Sigstore integration time:
-
Permalink:
cwru-sdle/AdvSegLearn@3c17fe4f5044fab8acd03f91d89ab4298f60b429 -
Branch / Tag:
refs/tags/release - Owner: https://github.com/cwru-sdle
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
python-publish.yml@3c17fe4f5044fab8acd03f91d89ab4298f60b429 -
Trigger Event:
release
-
Statement type:
File details
Details for the file advseglearn-0.1.0-py3-none-any.whl.
File metadata
- Download URL: advseglearn-0.1.0-py3-none-any.whl
- Upload date:
- Size: 2.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2b53e3b28091a1371a6ef9945370610cc981182c229c790afe8c7f32c22cbeeb
|
|
| MD5 |
437ae79758721656d1b8785bc81a69f9
|
|
| BLAKE2b-256 |
e6ecf8f90cbc369719b29bab740a2ae1951bad31c95aab56eba5d594254f9b00
|
Provenance
The following attestation bundles were made for advseglearn-0.1.0-py3-none-any.whl:
Publisher:
python-publish.yml on cwru-sdle/AdvSegLearn
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
advseglearn-0.1.0-py3-none-any.whl -
Subject digest:
2b53e3b28091a1371a6ef9945370610cc981182c229c790afe8c7f32c22cbeeb - Sigstore transparency entry: 195628128
- Sigstore integration time:
-
Permalink:
cwru-sdle/AdvSegLearn@3c17fe4f5044fab8acd03f91d89ab4298f60b429 -
Branch / Tag:
refs/tags/release - Owner: https://github.com/cwru-sdle
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
python-publish.yml@3c17fe4f5044fab8acd03f91d89ab4298f60b429 -
Trigger Event:
release
-
Statement type: