linear-operator-learning 0.1.7

A package to learn linear operators

Linear Operator Learning

Install

To install this package as a dependency, run:

pip install linear-operator-learning

Development

To develop this project, please setup uv by running the following commands:

1. curl -LsSf https://astral.sh/uv/install.sh | sh
2. git clone [e-mail]:CSML-IIT-UCL/linear_operator_learning.git & cd linear_operator_learning
3. uv sync --dev
4. uv run pre-commit install

Optional

Set up your IDE to automatically apply the ruff styling.

• VS Code
• PyCharm

Contributing

Please adhere to the following principles while contributing to the project:

1. Adopt a functional style of programming. Avoid abstractions (classes) like they were plague.
2. To add a new feature, create a branch and when done open a Pull Request. It is not possible to approve your own PR.
3. Write tests on the functional level and not on the integration level (which shouldn't matter anyway).
4. The package contains both numpy and torch based algorithms. Let's keep them separated.
5. The functions shouldn't change the dtype or device of the inputs (that is, keep a functional approach)
6. Try to complement your contributions with simple examples to be added in the examples folder