Pinned Repositories
DRM-and-PML
The implementation of the Domain Reduction Method (DRM) and Perfectly Matched Layer (PML) for Abaqus in Python
GPicSync
:earth_americas::globe_with_meridians: GPicSync: inserts location in your pictures metadata from a GPS tracklog.
hercules
Hercules is an octree-based finite element earthquake simulator originally developed by the Quake Group at Carnegie Mellon. Hercules is used to solve large-scale earthquake wave propagation problems. For instructions on how to build, install and execute Hercules, please read the documentation below.
HerculesDoc
Documentation for Hercules
Pi-Humidity-Controlling
Control the humidity in my room with Raspberry Pi. Visualize the data with Flask, Google Charts.
GPicSync
:earth_americas::globe_with_meridians: GPicSync: inserts location in your pictures metadata from a GPS tracklog.
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
DRM-and-PML
The implementation of the Domain Reduction Method (DRM) and Perfectly Matched Layer (PML) for Abaqus in Python
BetterDisplay
Unlock your displays on your Mac! Flexible HiDPI scaling, XDR/HDR extra brightness, virtual screens, DDC control, extra dimming, PIP/streaming, EDID override and lots more!
Clifford-Yen's Repositories
Clifford-Yen/hercules
Hercules is an octree-based finite element earthquake simulator originally developed by the Quake Group at Carnegie Mellon. Hercules is used to solve large-scale earthquake wave propagation problems. For instructions on how to build, install and execute Hercules, please read the documentation below.
Clifford-Yen/DRM-and-PML
The implementation of the Domain Reduction Method (DRM) and Perfectly Matched Layer (PML) for Abaqus in Python
Clifford-Yen/GPicSync
:earth_americas::globe_with_meridians: GPicSync: inserts location in your pictures metadata from a GPS tracklog.
Clifford-Yen/HerculesDoc
Documentation for Hercules
Clifford-Yen/Pi-Humidity-Controlling
Control the humidity in my room with Raspberry Pi. Visualize the data with Flask, Google Charts.