Pinned Repositories
CERR
Matlab based platform for Radiological Research
cs-self-learning
计算机自学指南
FiraCode
Free monospaced font with programming ligatures
free-programming-books
:books: Freely available programming books
gitworkshop
test repository for git workshop 2016
gMicroMC
libevent
A public libevent repository. The official repository is at https://github.com/libevent/libevent
matRad
An open source multi-modality radiation treatment planning sytem
open-kbp
Develop dose prediction models for knowledge-based planning in radiotherapy
openai-cookbook
Examples and guides for using the OpenAI API
weilidays's Repositories
weilidays/CERR
Matlab based platform for Radiological Research
weilidays/cs-self-learning
计算机自学指南
weilidays/FiraCode
Free monospaced font with programming ligatures
weilidays/free-programming-books
:books: Freely available programming books
weilidays/gitworkshop
test repository for git workshop 2016
weilidays/gMicroMC
weilidays/libevent
A public libevent repository. The official repository is at https://github.com/libevent/libevent
weilidays/matRad
An open source multi-modality radiation treatment planning sytem
weilidays/open-kbp
Develop dose prediction models for knowledge-based planning in radiotherapy
weilidays/openai-cookbook
Examples and guides for using the OpenAI API
weilidays/penn_daq2
weilidays/powerline-shell
A beautiful and useful prompt for your shell
weilidays/psutil
Cross-platform lib for process and system monitoring in Python
weilidays/pyradiomics
Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics
weilidays/rat-pac
RAT is an Analysis Tool
weilidays/tmux
tmux source code
weilidays/tpm
Tmux Plugin Manager
weilidays/Tutorials
Here, we will be showcasing our seminar series “CPP for Image Processing and Machine Learning” including presentations and code examples. There are image processing and machine learning libraries out there which use C++ as a base and have become industry standards (ITK for medical imaging, OpenCV for computer vision and machine learning, Eigen for linear algebra, Shogun for machine learning). The documentation provided with these packages, though extensive, assume a certain level of experience with C++. Our tutorials are intended for those people who have basic understanding of medical image processing and machine learning but who are just starting to get their toes wet with C++ (and possibly have prior experience with Python or MATLAB). Here we will be focusing on how someone with a good theoretical background in image processing and machine learning can quickly prototype algorithms using CPP and extend them to create meaningful software packages.
weilidays/Varian-Code-Samples
Code samples for ESAPI and other Varian APIs and web services.
weilidays/yabai
A tiling window manager for macOS based on binary space partitioning