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18337

18.337 - Parallel Computing and Scientific Machine Learning

18s096sciml

18.S096 - Applications of Scientific Machine Learning

andrew-ng-notes

This is Andrew NG Coursera Handwritten Notes.

applied_measurements

astronn

Deep Learning for Astronomers with Tensorflow

awesome-neural-ode

A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

awesome-vaes

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

bayesian-sde

Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"

burgers-equation

Finite-difference solution to 1D viscid Burger's equation

burgers1d_solver

This report is developed with the purpose of giving the student a better understanding of what is turbulence modelling and its analysis. A brief introduction about the Burger's equation and the theories behind the models used later on the report. The study consist in the analysis of the Burger's equation in the Fourier space analysing the behaviour of the total energy as a function of the Reynolds Number [Re], the number of modes [N] and finally the effect of these two on the number of iterations of the model. Finally a comparison between LES [Large Eddy Simulation] and DNS [Direct Numerical Simulation] is made in order to analysis when the increase in computational cost is necessary.

burgers_1d

Solve the 1D forced Burgers equation with high order finite elements and finite difference schemes.

cantera

Chemical kinetics, thermodynamics, and transport tool suite

cantera-jupyter

Cantera examples in the form of Jupyter notebooks

cemafoam

Implementation of Chemical Explosive Mode Analysis in OpenFOAM

cfdpython

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

computational-fluid-dynamics-machine-learning-examples

This repo contains some tutorial type programs showing some basic ways machine learning can be applied to CFD.

cpsc540machinelearning

Solutions to the assignments of the CPSC 540 Machine Learning course (2013) taught by Nando de Freitas

creckflameletmodel

The laminar steady-state flamelet model developed by the CRECK Modeling Group from Milano.

deep-learning-turbulence-model

Use deep learning to learn a turbulence model from high fedelity data. The model can reasonably predict other turbulent flows.

deeponet

Learning nonlinear operators via DeepONet

deepturbulence

Deep Learning of Turbulent Scalar Mixing

diffeqflux.jl

Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fasterneuraldiffeq

Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)

flamelet2table

python scripts to generate table from flamelet solutions

flameletfoam-2.3.0

flameletfoam-2.3.x

flowtorch

This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a community of users and contributors by focusing initially on complete infra and documentation for how to use and create components.

forpy

Forpy - use Python from Fortran

hello-world

First Repository - for practice