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abdominal-multi-organ-segmentation

abdominal multi-organ segmentation using pytorch

algorithms_mathmodels

【国赛】【美赛】数学建模相关算法 MATLAB实现

awesome-computer-vision

A curated list of awesome computer vision resources

bitcoin

Bitcoin Core integration/staging tree

cartest

coding-note

刷题笔记：LeetCode和剑指Offer等

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

coursera-ml-py

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

courseraml

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

darknet

Convolutional Neural Networks

defect-detection-with-tensorflow

👷胶囊表面缺陷检测withTensorflow，主要检测了凹陷和缺失部分

face_recognition

The world's simplest facial recognition api for Python and the command line

facecv

OpenCV+QT小例子

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.

ivy

The Unified Machine Learning Framework

machine-learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

mathmodel

研究生数学建模，数学建模竞赛优秀论文，数学建模算法，LaTeX论文模板，算法思维导图，参考书籍，Matlab软件教程，PPT

medicalnet

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

mvision

机器人视觉 无人驾驶 视觉SLAM ORB LSD SVO DSO 深度学习目标检测yolov3 行为检测 opencv PCL 双目视觉

my_face_recognizer

opencv

Opencv项目

opencv-1

Open Source Computer Vision Library

python-100-days

Python - 100天从新手到大师

python-tensorflow-face-v2.0

基于tensorflow的人脸识别

python_vlpr

毕业设计基于Opencv的车牌识别系统

pytorch_tutorial

《Pytorch模型训练实用教程》中配套代码

qt5-image-and-video-processing-software

使用QT5+Opencv完成简单的图像处理及视频处理软件。图像处理包括：灰度化、均值滤波、边缘检测、伽马变换、旋转镜像、亮度调节、二值化、对比度，饱和度调节、色彩调节、图片保存、水印等。 视频处理包括：二值化、边缘检测、灰度化、平滑、局部马赛克、缩放等。 此外还进行了界面美化、中英翻译等。

qwidgetdemo

Qt编写的一些开源的demo，预计会有100多个，一直持续更新完善，代码简洁易懂注释详细，每个都是独立项目，非常适合初学者，代码随意传播使用，拒绝打赏和捐赠，欢迎留言评论！

sa

信号分析及数据可视化软件