array-computing
colss is a lightweight expression evaluator for NumPy, Pandas, and Polars. It simplifies mathematical expressions while preserving memory efficiency and execution speed.
Modular and scalable computational imaging in Python with GPU/out-of-core computing.
Library for solving linear inverse problems with state-of-the-art proximal algorithms.
