cguisu Goto Github PK

aerialcrackdetection

Use Keras to detect the pavement cracks in aerial images.

autoface

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

boxdetection

箱子识别

concrete-crack-detection

Crack detection for an autonomous UAV

darknet

Convolutional Neural Networks

deep-learning-based-structural-damage-detection

Structural damage detection using convolutional neural networks

detect_steel_bar

CCFDF AI 数钢筋大赛

dlinterview

Deep Learning Interview 深度学习面试题目汇总

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

fanqiang

翻墙-科学上网

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

faster_rcnn_pytorch

Faster RCNN with PyTorch

feon

Feon is a python-based finite element analysis (FEA,FEM) framework for education and research purpose!

gaft

A Genetic Algorithm Framework in Python

git

gitskills

hands_on_ml_with_sklearn_and_tf

OReilly Hands On Machine Learning with Scikit Learn and TensorFlow (Sklearn与TensorFlow机器学习实用指南)

hangzhou_house_knowledge

2017年买房经历总结出来的买房购房知识分享给大家，希望对大家有所帮助。买房不易，且买且珍惜。Sharing the knowledge of buy an own house that according to the experience at hangzhou in 2017 to all the people. It's not easy to buy a own house, so I hope that it would be useful to everyone.

icip2016_cnn_crack_detection

kaggle_titanic

the data and ipython notebook of my attempt to solve the kaggle titanic problem

kaolin

A PyTorch Library for Accelerating 3D Deep Learning Research

matplotlib-cheatsheet

Matplotlib 3.1 cheat sheet.

mpl-finance

This package is DEPRECATED, replaced by https://github.com/matplotlib/mplfinance

opencv

Find squares in an image with OpenCV C++

parl

PARL A high-performance distributed training framework for Reinforcement Learning

practical_rl

A course in reinforcement learning in the wild

pyautocad

AutoCAD Automation for Python

pymatting

A Python library for alpha matting

pyqt5

《PyQt5快速开发与实战》配套代码