https://github.com/TidalPaladin/combustion
Collection of helpers for deep learning with PyTorch
https://github.com/TidalPaladin/combustion
deep-learning pytorch
Last synced: 2 months ago
JSON representation
Collection of helpers for deep learning with PyTorch
- Host: GitHub
- URL: https://github.com/TidalPaladin/combustion
- Owner: TidalPaladin
- License: apache-2.0
- Created: 2020-04-01T18:01:06.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2022-04-19T13:52:04.000Z (about 3 years ago)
- Last Synced: 2024-10-30T14:26:48.093Z (9 months ago)
- Topics: deep-learning, pytorch
- Language: Python
- Homepage:
- Size: 2.95 MB
- Stars: 4
- Watchers: 2
- Forks: 1
- Open Issues: 6
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Combustion
[](https://circleci.com/gh/TidalPaladin/combustion/tree/master)
[](https://combustion.readthedocs.io/en/latest/?badge=latest)
[](https://codecov.io/gh/TidalPaladin/combustion)Combustion is a collection of layers/helper functions for deep learning.
**NOTE** Highly specialized layers/models are being pruned and will be relocated to separate model-specific repoistories.
See tag `pre-submodule` to return to a state before this pruning.## Installation
Install combustion core with pip using
```
pip install .
```Optional dependencies are provided via the following extras:
* `hdf5` - HDF5 serialization (`combustion.data`)
* `vision` - Vision helpers (`combustion.vision`)
* `points` - Point cloud manipulation (`combustion.points`)
* `macs` - For counting multiply accumulate operationsDevelopment dependencies can be installed with
```
pip install combustion[dev] && pip install combustion[points]
```## Development
Multiple make recipes are provided to aid in development:
* `ci-test` - Runs tests that will be run by CircleCI
* `ci-quality` - Runs quality checks that will be run by CircleCI
* `docs` - Builds documentation
* `pre-commit` - Installs a pre-commit hook to run code quality tests
* `quality` - Runs code quality tests
* `style` - Automatically formats code (using `black` and `autopep8`)
* `tag-version` - Adds a git tag based on `version.txt`.
* `test` - Runs all tests, including slow model tests
* `test-%` - Runs specific tests by pattern match (via `pytest -k` flag)
* `test-pdb-%` - Runs specific tests with debugging on failure (via `pytest --pdb` flag)## References
* [PyTorch Lightning](https://github.com/PytorchLightning/pytorch-lightning)