132rentime Goto Github PK

annotatedcode

知名开源代码库的注释版，包括libco、coroutine、muduo等

cloudcross

CloudCross it's opensource crossplatform software for syncronization a local files and folders with many cloud providers. On this moment a Cloud Mail.Ru, Yandex.Disk, Google drive, OneDrive and Dropbox support is available

common

Yet another serial port debugger.

complex-valued-cnn

Complex-valued Convolutional Neural Networks

complex-valued-neural-networks

cserialport

基于C++的轻量级开源跨平台串口类库Lightweight cross-platform serial port library based on C++

data-structure-and-algorithm

数据结构和算法，C++实现

energy

believe yourself you can fly

flamingo

flamingo 一款高性能轻量级开源即时通讯软件

ga-bp

基于遗传算法的BP网络设计，应用背景为交通流量的预测

hiredis

Minimalistic C client for Redis >= 1.2

idealserver

仿muduo的多线程网络服务框架，应用层实现了RTSP服务器

leetcode

The optimum C++ solutions for the leetcode

levenberg-marquardt-algorithm

In this repository, I examine the nature of Levenberg-Marquardt algorithm by rewriting the code and calculating Jacobian matrix manually in order to perform the train.lm built-in function in matlab.

levenberg-marquardt-method

Levenberg-Marquardt Method is studied for finding the model parameters.

master-project

Computational Science and Engineering Master project on reduced order modeling of complex nonlinear systems using neural networks

matlab-neural-network-functions

Two main functions are included. One implements gradient descent backpropagation and the other implements Levenberg-Marquardt backpropogation.

matlab_programming

A repository for matlab codes from complex systems, neural network, machine learning, data science.

module

C++组件和模块

muduo

Event-driven network library for multi-threaded Linux server in C++11

multilayered-neural-network-complex-valued

This was the final project for my neural networks course. It is a multilayered neural network that uses complex value weights for the neurons, and was done in a team of three. The members were me, Ryan McPartlan, and Paul Revelo. There is some problem with our code which we did not solve in time for the deadline, which hinders the networks ability to learn. It comes close to the desired results, but not really close enough to satisfy us.

netserver

A C++ High Performance Net Library

neural-network-for-cancer-prediction

From my previous project, It was observed that the accuracy of the logistic regression model peaks at 86% accuracy. Instead, I plan to build a non linear hypothesis with complex functions using a neural network.

nginx

An official read-only mirror of http://hg.nginx.org/nginx/ which is updated hourly. Pull requests on GitHub cannot be accepted and will be automatically closed. The proper way to submit changes to nginx is via the nginx development mailing list, see http://nginx.org/en/docs/contributing_changes.html

nonlinear-fitting-with-levenberg-marquardt-method

phxrpc

A simple C++ based RPC framework.

qtswissarmyknife

This is a qt project, it supports serialport debugging, udp debugging, tcp debugging...

robust-model-free-iterative-learning-control-with-convergence-rate-acceleration

A novel model-free iterative learning control algorithm is presented in this project to improve both the robustness against output disturbances and the tracking performance in steady-state. For model-free ILC, several methods have been investigated, such as the time- reversal error filtering, the Model-Free Inversion-based Iterative Control (MFIIC), and the Non- Linear Inversion-based Iterative Control (NLIIC). However, the time-reversal error filtering has a conservative learning rate. Other two methods, although with much faster error convergence, have either a high noise sensitivity or a non-optimized steady-state. To improve the performance and robustness of model-free ILC, in this project we apply the time-reversal based ILC algorithm and recursively accelerate its error convergence using the online identified learning filter. The effectiveness of the proposed algorithm has been validated from a numerical simulation. The proposed approach not only improves the transient response of the MFIIC, but also achieves lower tracking error in steady-state compared to that of the NLIIC.

rough-mlp-implementation

Rough MLP network learned by Levenberg Marquardt method

rpc

In this repository, I can teach you how to write an excellent rpc lib using C++.