sonlia

sonlia's Stars

• harry0703/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.

  Language:Python16.3k1353792.6k

• shoelace-style/shoelace

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

  Language:TypeScript12.7k951k810

• Avaiga/taipy

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

  Language:Python12.1k72750843

• hazelcast/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.

  Language:Java6.1k2958.6k1.8k

• lavague-ai/LaVague

  Large Action Model framework to develop AI Web Agents

  Language:Python5.3k53279482

• guardrails-ai/guardrails

  Adding guardrails to large language models.

  Language:Python3.9k26304297

• Kchengz/k-form-design

  基于vue Ant-Design 的表单设计器，快速开发

  Language:Vue1.2k3577306

• warrant-dev/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.

  Language:Go1.1k43740

• piercefreeman/mountaineer

  Mountaineer is a batteries-included web framework for Python.

  Language:Python85043515

• hyperdiv/hyperdiv

  Build reactive web UIs in Python

  Language:Python838144023

• CASIA-IVA-Lab/AnomalyGPT

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

  Language:Python768710893

• F-star/suika

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

  Language:TypeScript48975481

• Liberty-liu/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)

  Language:JavaScript44081269

• vis-three/scene-editor

  vis-three框架衍生出的全自定义web3D场景编辑器

  Language:JavaScript35372296

• vis-three/vis-three

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

  Language:HTML30983269

• taoran1998/-

  研学社

  1450013

• ROYIANS/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 ]。

  Language:Vue983117

• shidi1985/L2RPN

  CodaLab L2RPN: Learning to Run a Power Network

  Language:Python623423

• spyboy-productions/PhantomCrawler

  Boost website hits by generating requests from multiple proxy IPs.

  Language:Python49109

• tzjtatata/Myriad

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

  487101

• Fus3n/pyqt-code-editor-yt

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

  Language:Python403011

• WHUzxp/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

  Language:MATLAB38109

• WHUzxp/Volt_Cont_ADN_DRL

  基于深度强化学习的主动配电网电压控制策略

  Language:MATLAB37119

• WHUzxp/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

  Language:MATLAB30106

• fernandocalenzani/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.

  Language:Python15303

• WHUzxp/Nonconvex_by_Gurobi

  GUROBI9.0求解Nonconvex规划 配电网重构

  Language:MATLAB1210

• maceto2016/VueDataDrivenUI

  Language:Vue104

• WHUzxp/CVX_in_Power_System

  CVX工具包的使用 电力系统

  Language:MATLAB82

• arthur-x/Py2Wasm

  A mini Python to WebAssembly compiler.

  Language:TypeScript4200

• wangqh/json2canvas

  Language:JavaScript22