modenaxe Goto Github PK
Name: Luca Modenese
Type: User
Company: University of New South Wales
Bio: Researcher in biomechanics interested in healthcare applications of computer models.
Twitter: modenaxe
Location: Sydney
Name: Luca Modenese
Type: User
Company: University of New South Wales
Bio: Researcher in biomechanics interested in healthcare applications of computer models.
Twitter: modenaxe
Location: Sydney
18.337 - Parallel Computing and Scientific Machine Learning
Course 18.S191 at MIT, fall 2020 - Introduction to computational thinking with Julia:
Generate torque driven 2-D gait simulations in below 5s.
Materials to reproduce the results of our paper about 3D muscle modelling.
Generate 3D muscle-driven predictive simulations of human movement using direct collocation and algorithmic differentiation
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An implementation of the Augmented Random Search algorithm
Modified implementation of DCGAN focused on generative art. Includes pre-trained models for landscapes, nude-portraits, and others.
Data (bone geometries and gait analysis data) and scripts to reproduce the results and figures of the scientific publication specified in the README file.
A curated, public list of resources for biomechanics and human motion analysis: datasets, processing tools, software for simulation, educational videos, lectures, etc.
A curated list of awesome Deep Learning tutorials, projects and communities.
List of articles related to deep learning applied to music
A collection of awesome (gem-packaged) Jekyll themes - Add your theme!
Concise and beautiful algorithms written in Julia
Information of public available data sets for biomechanics.
Notes on Scientific Computing for Biomechanics and Motor Control
Repository of body segment parameter models
Source code behind the paper Fully automatic and fast segmentation of the femur bone
Massively parallel rigidbody physics simulation on accelerator hardware.
Core of the project to represent biomechanical data, file formats and data processing
Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]
Benchmarks for popular CNN models
Assets from Code the Classics
Common Voice Dataset explorer
COVID-19 Italia - Monitoraggio situazione
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.
#deepdream in a docker environment, to save you 8 hours of setup headaches.
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.