liuyubao Goto Github PK

advertising-intelligence

help to get useful information from lots of advertisements

back-propagation

Implemented the back propagation algorithm

cdan

Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)

django_learn

em-gaussian

Implemented EM fitting of a mixture of gaussians on the two-dimensional data set points.dat. Tried different numbers of mixtures, as well as tied vs. separate covariance matrices for each gaussian.

em-hmm

Implemented EM to train an HMM. Used the first 900 observations as a single training sequence, and the last 100 as a single development sequence.

flask_ur-buddy

git_learning

learning using git

hands-on-meta-learning-with-python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

ios10-swift3-xcode8

Start IOS learning！

kdd-cup

lyb3dtouch

swift完整实现3d Touch代码

lybcoremldemo

swift 机器学习Core ML调用

lybshake

swift 实现iOS摇一摇

lybtouchid

Built an open source iOS swift lib for fingerprint, faceID usage.

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

perceptron

Implemented the perceptron algorithm

personal-materials

pl-resolution-and-cnf

platerecognition

An open source car license plate recognition python lib based on HyperLPR; Trained OpenCV’s cascaded target detector; Used Hard Sample Mining to crop out the detected error areas;

pyrasite

Inject code into running Python processes

simple_mouse_move

simple script to move mouse

start-react-native

swift-faceit

A swift learning demo.

swift-multi-threads

tcp-go-back-n-rdt

I implemented the sending and receiving side of a reliable data transport (RDT) protocol. It achieves error-free, loss-free, and in-order data delivery on top of a link medium that can lose, reorder, and corrupt packets. The implementation follows sliding window protocol (Go-Back-N protocol).

tensorflow-cnn

Various Convolutional Neural Network in Practice

tensorflow_mnist

Mac tensorflow mnist实例

testcocoa

Test creating CocoaPods

three-deep-learning-mainstream-framework

the introduction of three Deep learning mainstream framework