High-performance TensorFlow library for quantitative finance.
-
Updated
Mar 21, 2025 - Python
High-performance TensorFlow library for quantitative finance.
Python library for arbitrary-precision floating-point arithmetic
Python package for numerical derivatives and partial differential equations in any number of dimensions.
Probabilistic Numerics in Python.
The official implementation for Pseudo Numerical Methods for Diffusion Models on Manifolds (PNDM, PLMS | ICLR2022)
compilable markdown for linear algebra
Topological Data Analysis in Python
PyTorch Extension Library for Quantitative Finance
Animations of random double pendulums
🎯 Accurate sums and dot products for Python.
Numerical methods implementation in Python.
Generative Pre-Trained Physics-Informed Neural Networks Implementation
Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
Python-based Derivative-Free Optimization with Bound Constraints
Learn how to solve complex engineering mechanics problems using Python 3 and the industry's best practices.
Finite difference solution of 2D Poisson equation. Can handle Dirichlet, Neumann and mixed boundary conditions.
Topology optimization with finite element analysis in FEniCS. Final project for CSCI-GA.2420: Numerical Methods II at New York University.
Package for performing fixed-point, arbitrary-precision arithmetic in Python.
Doing non-Cartesian MR Imaging has never been so easy.
Kanjize(カンジャイズ): Easy converter between Kanji-Number and Integer
Add a description, image, and links to the numerical-methods topic page so that developers can more easily learn about it.
To associate your repository with the numerical-methods topic, visit your repo's landing page and select "manage topics."