Popular GitHub Repositories for Water Supply

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.

SparkyFitness: Built for Families. Powered by AI. Track food, fitness, water, and health — together.

Environments for OR and RL Research

OpenModelica Microgrid Gym (OMG): An OpenAI Gym Environment for Microgrids

超快的 RM 陀螺运动预测，包含精密火控 water-gun、弹道校正和各种数学轮子 ⭐️bug 修复中

AIShield Watchtower: Dive Deep into AI's Secrets! ? Open-source tool by AIShield for AI model insights & vulnerability scans. Secure your AI supply chain today! ????

全语言制品仓库，涵盖npm、Maven、PyPi、Docker、Gradle、SBT、Cocoapods、Swift、RPM、Debian、PHP、Go、Pub、Ivy、NuGet、Conda、Cargo、Conan、Yarn、GitLFS、Helm、OHPM等主流工具,涵盖Huggingface 等主流AI模型仓库的代理与同步

Download YouTube video (or supply your own) and generate dual languange subtitles with OpenAI Whisper and translation API (GPT) 下载 YouTube 视频（或提供您自己的视频）并使用 Whisper 和翻译API (GPT) 生成双语字幕

? Open WES is a customizable, open-source Warehouse Execution System designed to streamline warehouse operations. By integrating AI-driven optimization and a microservices architecture, Open WES delivers smarter, scalable, and future-ready solutions for modern supply chains. ? Star to support our work!

The code for the SRDQN algorithm to train an agent for the beer game problem

DevGuard Backend - Secure your Software Supply Chain - Attestation-based compliance as Code, manage your CVEs seamlessly, Integrate your Vulnerability Scanners, Security Framework Documentation made easy - OWASP Incubating Project

A Deep Reinforcement Learning based approach for energy supply management in MicroGrids

检查你的 GitHub Actions 工作流程运行情况，查看究竟下载了哪些 Actions

RSparkling: Use H2O Sparkling Water from R (Spark + R + Machine Learning)

SupplyGraph | A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks

This work aims at using different machine learning techniques in detecting anomalies (including hardware failures, sabotage and cyber-attacks) in SCADA water infrastructure.

Mapping and monitoring deep subglacial water activity in Antarctica using remote sensing and machine learning, with ICESat-2!

PyTorch implementation of image segmentation for identifying water bodies from satellite images

Source codes for groundwater pumping prediction using integrated remote sensing datasets and machine learning