sonlia

Everright-formEditor

:guide_dog: Powerful lowcode|vue form editor,generator,designer,builder library. It provides an easy way to create custom forms. The project is extensible, easy to use and configure, and provides many commonly used form components and functions(vue可视化低代码表单设计器、表单编辑器、element-plus vant表单设计)

json2canvas

print-template-designer

A vue2 component for design a page for print / 一个使用Vue2的组件，用于设计打印页面模板[ 可视化 拖拽 设计器 打印 ]。

hazelcast

Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.

Myriad

Open-sourced codes, IAD vision-language datasets and pre-trained checkpoints for Myriad.

Py2Wasm

A mini Python to WebAssembly compiler.

MoneyPrinterTurbo

利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.

taipy

Turns Data and AI algorithms into production-ready web applications in no time.

LaVague

Large Action Model framework to develop AI Web Agents

vis-three

A web 3D development framework for assembled based on three.js

scene-editor

vis-three框架衍生出的全自定义web3D场景编辑器

PhantomCrawler

Boost website hits by generating requests from multiple proxy IPs.

k-form-design

基于vue Ant-Design 的表单设计器，快速开发

mountaineer

Mountaineer is a batteries-included web framework for Python.

guardrails

Adding guardrails to large language models.

AnomalyGPT

[AAAI 2024 Oral] AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models

shoelace

A collection of professionally designed, every day UI components built on Web standards. SHOELACE IS BECOMING WEB AWESOME 👇👇👇

hyperdiv

Build reactive web UIs in Python

suika

A Web Graphics Editor Built with Canvas. 基于 Canvas 实现的图形编辑器

warrant

Warrant is a highly scalable, centralized authorization service based on Google Zanzibar. Use it to define, enforce, query, and audit application authorization and access control.

VueDataDrivenUI

L2RPN

CodaLab L2RPN: Learning to Run a Power Network

pyqt-code-editor-yt

A YouTube series on how to create your own code editor using PyQt5.

Nonconvex_by_Gurobi

GUROBI9.0求解Nonconvex规划 配电网重构

CVX_in_Power_System

CVX工具包的使用 电力系统

Powerflow_LP

潮流计算 二阶锥松弛 进一步采用多面体逼近 配电网重构 MILP

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研学社

Error_of_SOCR

电力系统保护与控制投稿《考虑设备动作损耗的配电网分布式电压无功优化》支持文件，利用IEEE33测试节点算例说明二阶锥松弛的准确性

Volt_Cont_ADN_DRL

基于深度强化学习的主动配电网电压控制策略

sed-evolutionary-computing-dragonfly

This work proposes a planning methodology of distribution systems formulated as a nonlinear optimization problem, which was solved through the heuristic Dragonfly Optimization Algorithm, which will be developed with the integration between OpenDSS for power flow calculation and Python for collection, modifying the feeder and displaying the results. The Dragonfly Algorithm is responsible for the reconfiguration of the feeder, with the objective function of minimizing the costs of expansion and technical losses. The proposed methodology was tested on the IEEE 123 feeder adapted buses, which is a test network with more than 123 buses, multiple switches, regulators, transformers, etc. Finally, the reconfiguration proposal brought an economy 22% compared to the original expansion plan, simulated with Dragonfly Algorithm, with 30 dragonflies and maximum number of iterations equal to 25, showing the effectiveness of the algorithm when applied to electric power distribution systems.