Collection of notebooks about quantitative finance, with interactive python code.
翻译 - 带有交互式python代码的有关定量金融的笔记本合集。
Learning in infinite dimension with neural operators.
翻译 - 使用傅立叶变换学习微分方程中的算子。
#计算机科学#Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
#计算机科学#PDEBench: An Extensive Benchmark for Scientific Machine Learning
Next generation FEniCS problem solving environment
FreeFEM source code
翻译 - FreeFEM源代码
Grid-based approximation of partial differential equations in Julia
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Julia package for function approximation
Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.
FiPy is a Finite Volume PDE solver written in Python
Python package for numerical derivatives and partial differential equations in any number of dimensions.
Python package for solving partial differential equations using finite differences.
Finite element toolbox for Julia
#计算机科学#Graph Neural PDEs
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
#计算机科学#PDE-Net: Learning PDEs from Data
18.S096 - Applications of Scientific Machine Learning
翻译 - 18.S096-科学机器学习的应用