Bllue's starred repositories
Digital-Modulation-Schemes
Contains codes various Digital Modulation Schemes (like AM, DSB-SC, SSB-SC FM, BPSK, QPSK, 16-QAM, DBPSK, DQPSK) in MatLab from scratch ie. without built-in MatLab functions
Communication_Modulation
This repository provides a simple python script for getting experience with common modulation techniques i.e. QAM, PSK, ASK and BPSK
yolov5-v6.1-opencv-onnxrun
分别使用OpenCV、ONNXRuntime部署yolov5-v6.1目标检测,包含C++和Python两个版本的程序。支持yolov5s,yolov5m,yolov5l,yolov5n,yolov5x,yolov5s6,yolov5m6,yolov5l6,yolov5n6,yolov5x6的十种结构的yolov5-v6.1
free-python-games
Free Python Games
ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
renzhengfei
https://github.com/benmahr/RenZhengfei
ASRT_SpeechRecognition
A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统
vocal_separation_by_uvr5
基于uvr5的歌唱人声分离
end2end_chinese_speech_recognition
端到端中文语音识别
keras-complex
Keras-Tensorflow implementation of complex-valued convolutional neural networks
yolo-tensorrt
TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.
TensorRT-Yolov3
TensorRT for Yolov3
tensorrt_demos
TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet
Fewshot_Detection
Few-shot Object Detection via Feature Reweighting
few-shot-without-forgetting-tensorflow
Tensorflow implementation of Dynamic Few-Shot Visual Learning without Forgetting by Gidaris & Komodakis
DRL-for-FSOD
Dynamic Relavance Learning for Few Shot Object Detection
Dynamic-Few-Shot-Visual-Learning-without-Forgetting
pytorch simple implement for "Dynamic Few-Shot Visual Learning without Forgetting" in Jupyter Version
GSP-Intro-GraSP-Code
Code for the GraSP appendix of the book "Introduction to Graph Signal Processing"
simple-pid
A simple and easy to use PID controller in Python
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
Awesome-Masked-Autoencoder
A curated list of awesome masked autoencoder in self-supervised learning