Florch is a flexible training scaffolding library for PyTorch
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
Project description
florch
Florch allows flexible training of PyTorch models. Modeled after my previous project fleras, which was built on top of Keras.
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
florch-0.2.1.tar.gz
(3.3 MB
view details)
File details
Details for the file florch-0.2.1.tar.gz.
File metadata
- Download URL: florch-0.2.1.tar.gz
- Upload date:
- Size: 3.3 MB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3dd99b83acf97e22a5d681b1426cecaaa8de1b225aef4343a3d17cd93f346aea
|
|
| MD5 |
121b9ecba406ff20fe8b7d452658c484
|
|
| BLAKE2b-256 |
e1d602033de72b3f033042f29891094da6f29051a603d161f7f806f1b592aed0
|
Provenance
The following attestation bundles were made for florch-0.2.1.tar.gz:
Publisher:
python-publish.yml on isarandi/florch
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
florch-0.2.1.tar.gz -
Subject digest:
3dd99b83acf97e22a5d681b1426cecaaa8de1b225aef4343a3d17cd93f346aea - Sigstore transparency entry: 216620817
- Sigstore integration time:
-
Permalink:
isarandi/florch@b2efaa67b66d72f66bce3afa0de59650d71fe5e0 -
Branch / Tag:
refs/tags/v0.2.1 - Owner: https://github.com/isarandi
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
python-publish.yml@b2efaa67b66d72f66bce3afa0de59650d71fe5e0 -
Trigger Event:
release
-
Statement type:
