XiaoyingGong's Stars
Splode/pomotroid
:tomato: Simple and visually-pleasing Pomodoro timer
mbobra/SHARPs
The SHARP data includes images of active regions, together with metadata keywords that describe their characteristics, taken by the NASA Solar Dynamics Observatory
dreamquark-ai/tabnet
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
XiaoyingGong/ls_fit_circle
Least square method to fit circle. 最小二乘法拟合圆
vrd1243/solar-flare-hybrid-apj
XiaoyingGong/MyUtils
The utils are used in my researches or interets
XiaoyingGong/EM_GMM_DEMO
my_em_model
liushengyu/aidlclient
aidl本地测试仓库
XiaoyingGong/KDE_kernel_density_estimation_Demo
XiaoyingGong/LOF
This a python implementation of local outlier factor
liushengyu/superstar2pic
一个小的从xiudu网站上下载书本图片的爬虫程序
liushengyu/Helloworld
Helloworld 程序
liushengyu/mytestapplication
平时随意练习些东西
aasensio/unsupervisedMFBD
Learning to do multiframe blind deconvolution unsupervisedly
nndl/nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
bat67/pytorch-FCN-easiest-demo
PyTorch Implementation of Fully Convolutional Networks (a very simple and easy demo).
StaRainJ/Image_matching_Datasets
labuladong/fucking-algorithm
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
lyhue1991/PythonAiRoad
source code of my blogs 😋😋
sucv/SIR
StaRainJ/LMR
Matlab Code for LMR: Learning for mismatch removal
Sri-Vishnu-Kumar-K/MathOfIntelligence
A repository of Vanilla Machine Learning Code based on Siraj Raval's Tutorials
skyline75489/what-happens-when-zh_CN
What-happens-when 的中文翻译,原仓库 https://github.com/alex/what-happens-when
iwyoo/DIRNet-tensorflow
Tensorflow implementation of DIRNet
kevinzakka/spatial-transformer-network
A Tensorflow implementation of Spatial Transformer Networks.
leiup/tensorflow-vgg
Tensorflow implementation of VGG 16 and VGG 19
siavashk/pycpd
Pure Numpy Implementation of the Coherent Point Drift Algorithm
roboticcam/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接
Snailclimb/JavaGuide
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试,首选 JavaGuide!
scutan90/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06