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awesome-pi

blog

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

deep-learning-specialization

All images, quiz questions, and assignments from Deep Learning Specialization in Coursera

delayssatoolkit.jl

DelaySSAToolkit.jl: a tool in Julia for stochastic simulation with delays

distributed_fft

Perform 3D DFFTs on a 3D domain decomposition

fkb

A two-way deep learning bridge between Keras and Fortran

folium

Python Data. Leaflet.js Maps.

genasis

General Astrophysical Simulation System

genasis_basics

Object-oriented Utilitarian Functionality for Large-scale Physics Simulations

gillespie-algorithm

Gillespie Algorithm application to a Cellular Membrane Simulation with SSE instead of RSE

hands-on-with-summit

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

ksttm

Matlab Codes for Kernelized Support Tensor Train Machines (KSTTM)

neural-fortran

A parallel framework for deep learning

ph482_582_sp22

pythonnumericaldemos

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

scientific_ml_project

scimlsensitivity.jl

A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.

sequential-minimal-optimization-for-svm

The main purpose of the project is to analyze the optimization methods currently employed to perform the training of the support vector machines (SVM).

sir-julia

Various implementations of the classical SIR model in Julia

stochastic-numerical-methods-for-the-schlogl-model

Project undertaken Spring 16 at UW Applied Maths - Code for Chemical Master Equation using matrix exponential, Backward Euler to for the law of mass action, Direct reaction method and Next reaction method to simulate the stochastic trajectories and a modification to the Euler Maruyama method for coupled diffusion

universal_differential_equations

Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML

zygote-paper