PDE-Net: Learning PDEs from Data
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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
A pyTorch Extension for Applied Mathematics
PowerShell “standard” library for supercharging your productivity. Provides a powerful cross-platform scripting environment enabling efficient analysis and sustainable science in myriad contexts.
AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control
Introduction to Applied Mathematics and Informatics in Drug Discovery (AMIDD)
Applied Mathematical Methods in Materials Engineering
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.
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]
[DEPRECATED] Statistics & Numerical algorithms implemented in Julia.
Gauss-Newton solver implemented from scratch.
A review of HAVOK and Reservoir computing for chaotic dynamics forecast
Files for crunchingnumbers(a)live
Exact Matrix Completion via Convex Optimization
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