optimagic is a Python package for numerical optimization. It is a unified interface to optimizers from SciPy, NlOpt and other packages. optimagic's minimize function works just like SciPy's, so you ...

This repository builds QuantLib Python bindings with automatic differentiation, enabling fast risks calculation with QuantLib in Python. It wraps C++ QuantLib-Risks ...

Abstract: We present auto_diff, a package that performs automatic differentiation of numerical Python code. auto_diff overrides Python's NumPy package's functions, augmenting them with seamless ...

🚀 Excited to Share My Latest Project: Auto Differentiation Library! 🚀 I recently developed an Auto Differentiation Library in Python, inspired by frameworks like PyTorch. This library enables ...

I have completed an engineering verification project: the release of coregrad, a core scalar-based automatic differentiation engine implemented from scratch in pure Python. Framework Architecture & ...