PDE-Net: Learning PDEs from Data
-
Updated
Jun 26, 2021
PDE-Net: Learning PDEs from Data
Labs for the Foundations of Applied Mathematics curriculum.
pyHarmonySearch is a pure Python implementation of the harmony search (HS) global optimization algorithm.
Python for Random Matrix Theory: cleaning schemes for noisy correlation matrices.
Study notes for my state examination in Sofia University
PowerShell “standard” library for supercharging your productivity. Provides a powerful cross-platform scripting environment enabling efficient analysis and sustainable science in myriad contexts.
A pyTorch Extension for Applied Mathematics
AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control
Applied Mathematical Methods in Materials Engineering
Introduction to Applied Mathematics and Informatics in Drug Discovery (AMIDD)
Reinforcement Learning based 'Learning' of Dynamic Sepsis Treatment Strategies
A statistical decomposition of internet traffic data (in bits) over time. Using RStudio I performed a Simple Trend Model, Multiplicative Classical Decomposition, Additive Classical Decomposition, and an ARIMA model.
Discretizations of Exterior Calculus for Analysis, Geometry and Topology
Equation sheets of STEM courses at the University of Washington (UW). Topics include chemistry, physics, calculus, applied mathematics, and chemical engineering.
[DEPRECATED] Statistics & Numerical algorithms implemented in Julia.
Gauss-Newton solver implemented from scratch.
上海交通大学 致远数学方向 专业研讨课3 [计算神经科学专题]
companion code for "The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation Models"
Repo for our deep learning book study group launched in October 2017.
Files for crunchingnumbers(a)live
Add a description, image, and links to the applied-mathematics topic page so that developers can more easily learn about it.
To associate your repository with the applied-mathematics topic, visit your repo's landing page and select "manage topics."