Popular GitHub Repositories for Heartrate Monitor

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

Evidently is ??an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

? Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 ?

Real-time Claude Code usage monitor with predictions and warnings

Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.

? Monitor deep learning model training and hardware usage from your mobile phone ?

Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

ModelFox makes it easy to train, deploy, and monitor machine learning models.

? Enterprise-grade API gateway that helps you monitor and impose cost or rate limits per API key. Get fine-grained access control and monitoring per user, application, or environment. Supports OpenAI, Azure OpenAI, Anthropic, vLLM, and open-source LLMs.

Rigorously test, monitor, and optimize agent systems—grounded in research from Stanford and Berkeley AI Labs.

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.

A developer CLI that reduces the time it takes to get started on Azure. The Azure Developer CLI (azd) provides commands that map to key workflow stages: code, build, deploy, monitor, repeat.

? Modern self-hosted uptime monitoring solution - Monitor websites, APIs, and services with real-time notifications, beautiful status pages, and comprehensive analytics. Built with Go, React, and MongoDB.

一站式自动化运维及自动化部署平台, 使用多环境的概念, 提供了机器管理、机器监控报警、Web终端、WebSftp、机器批量执行、机器批量上传、在线查看日志、定时调度任务、应用环境维护、应用构建及发布任务、操作流水线等功能, 帮助企业实现一站式轻量化运维治理, 致力于企业级应用的智能运维。

Code and Data artifact for NeurIPS 2023 paper - "Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context". `multispy` is a lsp client library in Python intended to be used to build applications around language servers.

API 200 is an open source API gateway to simplify 3rd-party integrations. Import endpoints, set up caching, retries, and mocks. Access all services via one URL. Monitor logs, track errors, and get alerts on API incidents.

Toolkits to create a human-in-the-loop approval layer to monitor and guide AI agents workflow in real-time.