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18337

18.337 - Parallel Computing and Scientific Machine Learning

50projects50days

50+ mini web projects using HTML, CSS & JS

aaucdscml

Classroom

adaptive-mesh-refinement

OpenFoam® motorBike case with adaptive volume & surface mesh refinement based on curl(U) or grad(p)

aibooks.github.io

AI Books

aml

Applied Machine Learning with Python

applied_ml_spring_2017

Website and material for the FIXME course on Practical Machine Learning

appliedml

appliedml_notebooks

Codes...

austincembenchmarks

Austin Benchmark Suites for Computational Electromagnetics

building-machine-learning-pipelines

Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson

coilgen

Open source MR coil generator

computationalphysics2

Advanced course in Computational Physics, see texbook at http://compphysics.github.io/ComputationalPhysics2/doc/LectureNotes/_build/html/ with an emphasis on computational quantum mechanics, machine learning and quantum computing.

conda

OS-agnostic, system-level binary package manager and ecosystem

cs-video-courses

List of Computer Science courses with video lectures.

cs229-2018-autumn

All notes and materials for the CS229: Machine Learning course by Stanford University

cs231a

Computer Vision: From 3D Reconstruction to Recognition

data-science-complete-tutorial

For extensive instructor led learning

databook_matlab

Matlab files with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz http://www.databookuw.com/

databook_python

IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearning-math.github.io

A Course on Mathematical Theories of Deep Learning

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearningbook-notes

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

e-books

This Repository Contains E-Books related to Python, Maths, Machine Learning, Data Science, Software Development, and Programming in PDF.

hands-on-machine-learning-with-scikit-learn-keras-and-tensorflow

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

handson-ml

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

julia

The Julia Programming Language

machine-learning-i

Slides and lecture notes for the course 'machine learning I' taught at the Graduate School Neural Information Processing in Tuebingen.