CERNML RL Tools
This is a collection of useful classes and functions for machine learning that have come up repeatedly while implementing automated control for the AWAKE experiment.
A strong effort is made to keep these helpers neutral w.r.t. the ML framework that one uses (TensorFlow, PyTorch, Theano, etc.). Merge requests are welcome whenever it is likely that a class or function is useful to multiple projects and there is a benefit to having one central implementation.
The repository is available on CERN's Gitlab.
Requirements
This package only requires NumPy, Matplotlib and Gymnasium, as well as the Common Optimization Interfaces. For details, see pyproject.toml.
License
Except as otherwise noted, this work is licensed under either of GNU Public License, Version 3.0 or later, or European Union Public License, Version 1.2 or later, at your option. See COPYING for details.
Unless You explicitly state otherwise, any contribution intentionally submitted by You for inclusion in this Work (the Covered Work) shall be dual-licensed as above, without any additional terms or conditions.
For full authorship information, see the version control history.
Metadata
Release files for cernml-rltools 0.12.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cernml_rltools-0.12.1-py3-none-any.whl | Python 3 | none | any | Details |
Release files / cernml_rltools-0.12.1-py3-none-any.whl
| Download URL | cernml_rltools-0.12.1-py3-none-any.whl |
|---|---|
| Size | 45.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
38ef94996bdf280d9180609bb2fe19ff78c7208bdc14f5e7fb5158cd53a88336
|
|
BLAKE2b-256 checksum How to use checksums |
d0bdcdef7adcd63e6a9cc1c4bda3f015d4057fa9046827701b7334a214433472
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.6
|