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.
Python for Random Matrix Theory: cleaning schemes for noisy correlation matrices.
pyHarmonySearch is a pure Python implementation of the harmony search (HS) global optimization algorithm.
Applied Mathematical Methods in Materials Engineering
Introduction to Applied Mathematics and Informatics in Drug Discovery (AMIDD)
A pyTorch Extension for Applied Mathematics
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]
Code supplement 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.
Webpage of Lab of computational neuroscience @ Shanghai Jiao Tong University.
Fork of the Finite Element ToolKit from fetk.org.
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.
Exact Matrix Completion via Convex Optimization
AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control
Rare events simulation on a football championship in Python
This repository is dedicated to the group project by International Master's in Turbulence (IMP-Turbulence) 2019 batch.
Course notes of STEM courses at the University of Washington (UW). Topics include chemical engineering, chemistry, and applied mathematics.
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