Liuhk123's repositories
ALAE
[CVPR2020] Adversarial Latent Autoencoders
CPlusPlusThings
C++那些事
Cpp_Primer_Practice
搞定C++:punch:。C++ Primer 中文版第5版学习仓库,包括笔记和课后练习答案。
Deep-Learning
:computer:深度学习实战:手写数字识别、Discuz验证码识别、垃圾分类、语义分割
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
face_recognition
The world's simplest facial recognition api for Python and the command line
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
learn_python3_spider
python爬虫教程系列、从0到1学习python爬虫,包括浏览器抓包,手机APP抓包,如 fiddler、mitmproxy,各种爬虫涉及的模块的使用,如:requests、beautifulSoup、selenium、appium、scrapy等,以及IP代理,验证码识别,Mysql,MongoDB数据库的python使用,多线程多进程爬虫的使用,css 爬虫加密逆向破解,JS爬虫逆向,分布式爬虫,爬虫项目实战实例等
learnopencv
Learn OpenCV : C++ and Python Examples
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
micropython
MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems
Prediction-of-Fire-Source-in-Tunnel
Prediction of Fire Source in Tunnel Based on the Numerical Database and Artificial Intelligence
RL-Stock
📈 如何用深度强化学习自动炒股
simple-faster-rcnn-pytorch
A simplified implemention of Faster R-CNN that replicate performance from origin paper
TensorRT-YOLOv4
tensorrt5, yolov4, yolov3,yolov3-tniy,yolov3-tniy-prn
tensorRT_Pro
C++ library based on tensorrt integration
tensorrt_yolov5_tracker
This is a project to deploy object tracking algorithm with yolov5 and TensorRT. Sort and Deep-sort algorithm are used to track the objects.(本项目用tensorrt进行目标跟踪的部署,检测器采用yolov5,跟踪器采用sort和deep-sort)
tensorrtx
Implementation of popular deep learning networks with TensorRT network definition APIs
TouchFish
摸鱼小程序合集,996中险象求生,摸鱼如呼吸般道法自然。
yolov5-car-plate
基于yolov5的车牌检测,包含车牌角点检测
Yolov5-deepsort-inference
Yolov5 deepsort inference,使用YOLOv5+Deepsort实现车辆行人追踪和计数,代码封装成一个Detector类,更容易嵌入到自己的项目中
yolov5_tensorrt_int8
TensorRT int8 量化部署 yolov5s 4.0 模型,实测3.3ms一帧!