hbcfzy,github

multiclass-image-classification-on-leaves

a solution is developed which uses the concept of the Hu moments invariant and the Haralick feature descriptors to perform image classification on the images in the Leafsnap dataset

orb-feature-matching

Python implementation of ORB feature matching algorithm from scratch. (not using openCV)

pyflann

python bindings for FLANN - Fast Library for Approximate Nearest Neighbors.

pyls

A python implementation of Partial Least Squares (PLS) decomposition

pysyft

A library for answering questions using data you cannot see

python-textbook-companions

Repository to store all the Python Textbook Companions.

python-zero2one

该资源是作者《Python从零到壹》系列文章的对应代码，该系列包括200篇原创博客，涉及基础语法、网络爬取、大数据分析、机器学习、图像处理、人工智能、文本挖掘、图像识别等领域。希望打造一个高质量的Python Family系列，帮助更多初学者，感谢您的点赞~

pythonnotebook

A notebook in reviewing the book Python编程：从入门到实践

resnet-for-radio-recognition

Implementation and improvement of "Over the Air Deep Learning Based Radio Signal Classification"

spatial-pyramid-matching-scene-recognition

Trained a classifier to recognize 3000 images with 15 categories using Bag of Features model and Spatial Pyramid Matching algorithm. Improved accuracy from ~50% to ~70%

specaugment

A minimalistic Tensorflow 2.x Keras layer which applies SpecAugment to its input

the-craft-of-selfteaching

One has no future if one couldn't teach themself.

thinkdsp

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

tinyml-papers-and-projects

This is a list of interesting papers and projects about TinyML.

wuhan-data-analysis

该系列资源是Python疫情大数据分析，涉及网络爬虫、可视化分析、GIS地图、情感分析、舆情分析、主题挖掘、威胁情报溯源、知识图谱、预测预警及AI和NLP应用等。推荐大家结合作者CSDN博客阅读，武汉必胜、湖北必胜、**必胜！

This is a Yoga Pose Estimation App which can be able to detect the yoga pose in real time by using posenet and KNN Classifier. Here the dataset used is custom data set which consists of 3 videos for representing 3 different postures. It is deployed in heroku. One Thing to be noted i.e this will work correctly for all mobile and edge devices.

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