High-performance TensorFlow library for quantitative finance.
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Updated
Feb 12, 2026 - 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.
A Python native dynamical system simulation framework in the block diagram paradigm.
The official implementation for Pseudo Numerical Methods for Diffusion Models on Manifolds (PNDM, PLMS | ICLR2022)
compilable markdown for linear algebra
PyTorch for Quantitative Finance : Refine Derivatives Hedging and Pricing with Architecture Alightment in Operators
Topological Data Analysis in Python
Like `requests` for mathematical computing, making complex math feel simple.
Animations of random double pendulums
Doing non-Cartesian MR Imaging has never been so easy.
Generative Pre-Trained Physics-Informed Neural Networks Implementation
Numerical methods implementation in Python.
🎯 Accurate sums and dot products for Python.
Python library for simulating heat transfer processes
Python-based Derivative-Free Optimization with Bound Constraints
Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
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.
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