brendanjmeade Goto Github PK
Name: Brendan Meade
Type: User
Company: Harvard University
Bio: Professor of Earth & Planetary Sciences at Harvard University
Location: Cambridge, MA
Blog: brendanjmeade.github.io
Name: Brendan Meade
Type: User
Company: Harvard University
Bio: Professor of Earth & Planetary Sciences at Harvard University
Location: Cambridge, MA
Blog: brendanjmeade.github.io
Quadratic element linear elastic boundary elements in Julia
Continuous slip boundary element models
Blocks
Brendan Meade
Next generation earthquake cycle kinematics
Interseismic deformation near circular faults
Notes on kinematically consistent earthquake cycle models for faults and folds
2D convolutions in space and LSTMs in time
130 million TDEs per second, Python + CUDA TDEs from Nikkhoo and Walter 2015
Dynamic mode decomposition of GPS data
A scientific machine learning (SciML) wrapper for the FEniCS Finite Element library in the Julia programming language
Testing FEniCS in Python and Julia
Harvard Science 5 (2022)
Two-dimensional kinematic afterslip models
Training, testing, evaluation codes for learning aftershock location patterns
Machine learning for estimation of magnetic fields
Codes for triangular dislocation element meshing with Gmsh
UCERF3 code and data
Convert directory of .pos files to a single .json file
Transform ISC data to usable dataframe
Global block model (Graham et al., 2018, 2021) output
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.