peyuhui Goto Github PK
Name: Hui Yu
Type: User
Company: NC State University
Bio: Power electronics. Microgrids.
Location: FREEDM Systems Center
Hui Yu's Projects
awesome-for-beginners
A list of awesome beginners-friendly projects.
best-readme-template
An awesome README template to jumpstart your projects!
bldc
The VESC motor control firmware
clrs
:notebook:Solutions to Introduction to Algorithms
cpython
The Python programming language
d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.
gsl
GNU Scientific Library with CMake build support and AMPL bindings
hello-algo
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing
hoverboard-firmware-hack-foc
With Field Oriented Control (FOC)
intro-to-pytest
An introduction to PyTest with lots of simple, hackable examples
jekyll-theme-dumbarton
Dumbarton is a Jekyll Theme developed by Tyler Butler. The theme is designed for academics and features a simple home page with an about me section, a blog, and an interactive highlights section to describe publications, coursework, courses taught, and projects. UI design with Bootstrap and Animate CSS. Dumbarton is not compatible with Github Pages at this time.
latex-templates
A collection of LaTeX templates in English/Chinese, with VS Code settings for LaTeX Workshop.
llm.c
LLM training in simple, raw C/CUDA
markdown-preview-enhanced
One of the 'BEST' markdown preview extensions for Atom editor!
mastering-algorithms-with-c
This repository contains example files organized by chapters in Mastering Algorithms with C, by Kyle Loudon
moto
Induction motor parameter estimation tool
nbody
2D N-body simulation on CPU and GPU
pid-tuning-opt
Optimisation of PID parameters implemented in Python, using scipy.optimize.minimize.
piml_converter
This is the code and data for the IEEE TPEL paper "Parameter Estimation of Power Electronic Converters with Physics-informed Machine Learning"
pytest
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
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