Credit risk modelling is a cornerstone of modern finance, enabling lenders to quantify the risk that a borrower will default on their obligations. One of the most important metrics in this domain is ...

This project serves as a bridge between zarrs (Rust) and zarr (zarr-python) via PyO3. The main goal of the project is to speed up i/o (see zarr_benchmarks). To use the project, simply install our ...

Operational risk, as defined by the Basel Committee on Banking Supervision, is "the risk of loss resulting from inadequate or failed internal processes, people, and systems or from external events." ...

For CUDA Graph, the graph inputs shall be in fixed memory. Currently, there is a python API OrtValue.update_inplace(np_arr) which accepts numpy ndarray as source. That means the source shall be in CPU ...

Image processing and computer vision play crucial roles in data science, allowing for the extraction of information from images. Basic image transformation techniques include translation, parametric ...