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Provides examples for using the WiSig dataset
Final Project for AI Wireless
A Unified Implementation of Several Baseline Deep Learning Models for Automatic Modulation Recognition
Use Hilbert-Huang Transform(EMD), MFCC, semi-supervised Rough Fuzzy Laplacian Eigenmap(SS-RFLE) to extract features of signals. Use FCM, PCM, SS-PCM, SVM(Libsvm-3.22) for recognition.
An open software package dedicated for the development of Brain-Computer Interfaces with various advanced pattern recognition algorithms
Hilbert变换提取信号特征的Python实现A Python Implementation of Hilbert Transform to Extract Signal Features
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
Spring Boot chinese document. Spring Boot 2.1.5 中文文档
RF fingerprinting project on 802.11 WiFi signals
Used in fingerprinting RF Signals, Multiple papers are implemented here all credits of the research goes to the authors who conducted the research. Created for Sainya Ranakshetram Hackathon.
语音打卡社群维护的前端面试题库，包含不限于Vue面试题，React面试题，JS面试题，HTTP面试题，工程化面试题，CSS面试题，算法面试题，大厂面试题，高频面试题
个人的学习工作总结，可作为你的面试指南（目前涵盖八股，非八股，算法，系统设计）。
A comprehensive mapping database of English to Chinese technical vocabulary in the artificial intelligence domain
PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
Calculate bicoherence, bispectrum, polycoherence and polyspectrum
Pytorch implementation of various Knowledge Distillation (KD) methods.
Radio Frequency Machine Learning with PyTorch
TorchSig is an open-source signal processing machine learning toolkit based on the PyTorch data handling pipeline.
This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbox).
《Python Cookbook》 3rd Edition Translation
Everything you need about Active Learning (AL).