kelvinwang139,kelvin wang,github

angular-markdown-editor

Angular Markdown Editor. All-in-one Markdown Editor and Preview

angular-websocket

The missing Angular WebSocket module for connecting client applications to servers by @AngularClass

anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

awesome-dotnet

A collection of awesome .NET libraries, tools, frameworks and software

butterfly

A web terminal based on websocket and tornado

cas

Apereo CAS - Enterprise Single Sign On for all earthlings and beyond.

diagramnet

Diagram.NET is a free open-source diagramming tools written entirely in C#.

difflib.js

Text diff library in JavaScript, ported from Python's difflib module.

django-filemanager

A simple Django app to browse files on server

django-filer

File and Image Management Application for django

fabedge

Secure Edge Networking Based On Kubernetes And KubeEdge.

federated-learning-for-human-mobility-models

Thanks to the proliferation of smart devices, such as smartphones and wearables, which are equipped with computation, communication and sensing capabilities, a plethora of new location-based services and applications are available for the users at any time and everywhere. Understanding human mobility has gain importance to offer better services able to provide valuable products to the user whenever it's required. The ability to predict when and where individuals will go next allows enabling smart recommendation systems or a better organization of resources such as public transport vehicles or taxis. Network providers can predict future activities of individuals and groups to optimize network handovers, while transport systems can provide more vehicles or lines where required, reducing waiting time and discomfort to their clients. The representation of the movements of individuals or groups of mobile entities are called human mobility models. Such models replicate real human mobility characteristics, enabling to simulate movements of different individuals and infer their future whereabouts. The development of these models requires to collect in a centralized location, as a server, the information related to the users' locations. Such data represents sensitive information, and the collection of those threatens the privacy of the users involved. The recent introduction of federated learning, a privacy-preserving approach to build machine and deep learning models, represents a promising technique to solve the privacy issue. Federated learning allows mobile devices to contribute with their private data to the model creation without sharing them with a centralized server. In this thesis, we investigate the application of the federated learning paradigm to the field of human mobility modelling. Using three different mobility datasets, we first designed and developed a robust human mobility model by investigating different classes of neural networks and the influence of demographic data over models' performance. Second, we applied federated learning to create a human mobility model based on deep learning which does not require the collection of users' mobility traces, achieving promising results on two different datasets. Users' data remains so distributed over the big number of devices which have generated them, while the model is shared and trained among the server and the devices. Furthermore, the developed federated model has been the subject of different analyses including: the effects of sparse availability of the clients; The communication costs required by federated settings; The application of transfer-learning techniques and model refinement through federated learning and, lastly, the influence of differential privacy on the model’s prediction performance, also called utility

filemanager

A collection of Python scripts for some file management tasks

filemanager-1

filemanager 服务端的 python 实现

filemanager-py

A demo of CKEditor and Filemanager based on python framework tornado.

filemanager-ui

It is the graphical user interface File Manager, regardless of the backend, lets you work with PHP, Python, nodejs or another.

gentelella

Free Bootstrap 3 Admin Template

image-processing-node-editor

処理の検証や比較検討での用途を想定したノードエディターベースの画像処理アプリ(A node editor-based image processing application intended for use in processing verification and comparison studies)

interview-notebook

:calendar: 准备秋招学习笔记

iot

This repo includes .NET Core implementations for various IoT boards, chips, displays and PCBs.

jeesite

JeeSite 是一个企业信息化开发基础平台，Java企业应用开源框架，Java EE（J2EE）快速开发框架，使用经典技术组合（Spring、Spring MVC、Apache Shiro、MyBatis、Bootstrap UI），包括核心模块如：组织机构、角色用户、权限授权、数据权限、内容管理、工作流等。