Minimalistic Neural Network Trainer
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
Project description
Minnt
Minnt is Milan's Minimalistic Neural Network Trainer for PyTorch inspired by Keras.
Read the documentation.
See the examples.
Install using:
pip install minnt --extra-index-url=https://download.pytorch.org/whl/cu130 torch torchvision
Project details
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
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 minnt-1.1.1.tar.gz.
File metadata
- Download URL: minnt-1.1.1.tar.gz
- Upload date:
- Size: 49.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
77e637bd8445d2646e67c3a007f8a0716dd5663a4fc215699f5ac9d60b52fe73
|
|
| MD5 |
6c97b19f78d329656f3a4c010481e35f
|
|
| BLAKE2b-256 |
c887e5be2de2ccbed46e9d6f377cc75bcdfe9ba8bc642181d2e037f48af3863d
|
Provenance
The following attestation bundles were made for minnt-1.1.1.tar.gz:
Publisher:
publish_to_pypi.yml on ufal/minnt
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
minnt-1.1.1.tar.gz -
Subject digest:
77e637bd8445d2646e67c3a007f8a0716dd5663a4fc215699f5ac9d60b52fe73 - Sigstore transparency entry: 2013993978
- Sigstore integration time:
-
Permalink:
ufal/minnt@eb62c3e420e19abe06e176ea631c29a1e29cf368 -
Branch / Tag:
refs/tags/v1.1.1 - Owner: https://github.com/ufal
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish_to_pypi.yml@eb62c3e420e19abe06e176ea631c29a1e29cf368 -
Trigger Event:
push
-
Statement type:
File details
Details for the file minnt-1.1.1-py3-none-any.whl.
File metadata
- Download URL: minnt-1.1.1-py3-none-any.whl
- Upload date:
- Size: 78.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e08f963aba38e2115016b39ec249f1494ccd82d063e1f82542aef40041787070
|
|
| MD5 |
f430603398acea3006b4ceb87adda569
|
|
| BLAKE2b-256 |
4d8280fcd0a4e21527efd714c8ea915d9e1efd196bacaf13eda1761e191d8c4a
|
Provenance
The following attestation bundles were made for minnt-1.1.1-py3-none-any.whl:
Publisher:
publish_to_pypi.yml on ufal/minnt
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
minnt-1.1.1-py3-none-any.whl -
Subject digest:
e08f963aba38e2115016b39ec249f1494ccd82d063e1f82542aef40041787070 - Sigstore transparency entry: 2013994091
- Sigstore integration time:
-
Permalink:
ufal/minnt@eb62c3e420e19abe06e176ea631c29a1e29cf368 -
Branch / Tag:
refs/tags/v1.1.1 - Owner: https://github.com/ufal
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish_to_pypi.yml@eb62c3e420e19abe06e176ea631c29a1e29cf368 -
Trigger Event:
push
-
Statement type:
