Xiaoping Deng's Projects
Learn the basics of Python. These tutorials are for Python beginners. so even if you have no prior knowledge of Python, you won’t face any difficulty understanding these tutorials.
A shield for the Arduino Due to mesure current using current transformers (CT) for up to 4 power lines.
A ring buffer implemented in C
Deep Learning Book Chinese Translation
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
Deep Reinforcement Learning
Embedded Artistry Templates, Documents, and Source Code
A QPSK modem written in the Verilog hardware description language, that can be implemented on FPGA
《可解释的机器学习--黑盒模型可解释性理解指南》,该书为《Interpretable Machine Learning》中文版
Official implementation of paper "Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning"
📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
Jupyter notebooks for teaching/learning Python 3
Programming Assignments and Lectures for Geoffrey Hinton's "Neural Networks for Machine Learning" Coursera course
Non-Intrusive Load Monitoring Toolkit (nilmtk)
收集并整理了全国大学生电子设计竞赛从1994年至2021年的历年赛题,如有遗漏欢迎补充!
A MATLAB program to help understand OFDM.
Sythesizable, modular Verilog implementation of 802.11 OFDM decoder.
open-source IEEE802.11/Wi-Fi baseband chip/FPGA design
FPGA/hardware design of openwifi
This Jupyter Notebook has been developed based on "A Beginner's Python Tutorial" by Steven Thurlow. The original material has been ported to Python 3.
从0开始接触Python处理数据科学问题。包含Python0基础入门、科学计算工具入门、数学与计算机基础入门、统计学习入门。
OFDM implemented in MATLAB for USRP radios with MAC Layer
The super-state hidden Markov model disaggregator that uses a sparse Viterbi algorithm for decoding. This project contains the source code that was use for my IEEE Transactions on Smart Grid journal paper.
TeachYourselfCS 的中文翻译 | A Chinese translation of TeachYourselfCS
Open-source IoT Platform - Device management, data collection, processing and visualization.
Transfer Learning for Non-Intrusive Load Monitoring