Popular GitHub Repositories for Bandwidth 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 ?

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

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.

Real-time Claude Code usage monitor with predictions and warnings

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.

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.

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.

This repo contains the official PyTorch implementation of "Audio Super Resolution in the Spectral Domain" (ICASSP 2023)

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.

Official pytorch implementation of the paper: "Catch-A-Waveform: Learning to Generate Audio from a Single Short Example" (NeurIPS 2021)

Professional VPN node automation for Depined Network - the decentralized privacy platform that rewards users for sharing bandwidth as secure exit nodes. Earn crypto while enhancing global internet privacy.