TensorFlow implementation of the Lorentz Boost Network from [arXiv:XXXX.XXXXX [hep-ex]](https://arxiv.org/abs/XXXX.XXXXX).
Original repository: [git.rwth-aachen.de/3pia/lbn](https://git.rwth-aachen.de/3pia/lbn)
### Usage example
```python
fromlbnimportLBN
# initialize the LBN, set 10 combinations and pairwise boosting
lbn=LBN(10,boost_mode=LBN.PAIRS)
# create a feature tensor based on input four-vectors
features=lbn(four_vectors)
# use the features as input for a subsequent, application-specific network
...
```
### Installation and dependencies
Via [pip](https://pypi.python.org/pypi/lbn):
```bash
pip install lbn
```
NumPy and TensorFlow are the only dependencies.
### Testing
Tests should be run for Python 2 and 3. The following commands assume you are root directory of the LBN respository:
```bash
python -m unittest test
# or via docker, python 2
docker run --rm-v`pwd`:/root/lbn -w /root/lbn tensorflow/tensorflow:latest python -m unittest test
# or via docker, python 3
docker run --rm-v`pwd`:/root/lbn -w /root/lbn tensorflow/tensorflow:latest-py3 python -m unittest test
```
### Contributing
If you like to contribute, we are happy to receive pull requests. Just make sure to add new test cases and run the tests. Also, please use a coding style that is compatible with our `.flake8` config.
### Development
- Original source hosted at [RWTH GitLab](https://git.rwth-aachen.de/3pia/lbn)
- Report issues, questions, feature requests on [RWTH GitLab Issues](https://git.rwth-aachen.de/3pia/lbn/issues)