rnnr
rnnr: neural network runner
rnnr helps you to run your neural network models, for either training or evaluation. It is heavily inspired by Ignite and torchnet, but hopefully simpler and more applicable to libraries other than PyTorch.
Documentation
Contributing
Pull requests are welcome! To start contributing, first install flit.
pip install flit
Next, install this library and its dependencies in development mode.
flit install --symlink
Lastly, setup the pre-commit hook.
ln -s ../../pre-commit.sh .git/hooks/pre-commit
Tests, the linter, and the type checker can be run with pytest, flake8, and mypy respectively.
License
Apache License, Version 2.0
1 maintainer
Metadata
1 maintainer
Release files for rnnr 0.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| rnnr-0.4.0.tar.gz | 20.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| rnnr-0.4.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 59.7 kB
Release files / rnnr-0.4.0.tar.gz
| Download URL | rnnr-0.4.0.tar.gz |
|---|---|
| Size | 20.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / rnnr-0.4.0-py3-none-any.whl
| Download URL | rnnr-0.4.0-py3-none-any.whl |
|---|---|
| Size | 38.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
python-requests/2.21.0
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