Popular GitHub Repositories for Meeting Hours

A free and open source, self hosted Ai based live meeting note taker and minutes summary generator that can completely run in your Local device (Mac OS and windows OS Support added. Working on adding linux support soon)

? 「大模型」1小时从0训练26M参数的视觉多模态VLM！? Train a 26M-parameter VLM from scratch in just 1 hours!

World's first AI meeting copilot → The Invisible Companion for Work + Life

Master Federated Learning in 2 Hours—Run It on Your PC!

YT Navigator: AI-powered YouTube content explorer that lets you search and chat with channel videos using AI agents. Extract insights from hours of content in seconds with semantic search and precise timestamps.

The open-source, self-hosted video conferencing software. Scalable, customizable, and with a powerful AI Meeting Agent.

Make your meetings accessible to AI Agents

meeting notetaker and knowledge chat for teams and individuals

Live speech translation application built with Electron 34 and React, using OpenAI's Realtime API.

This repo tracks the opened and merged PRs by the top SWE coding agents by OpenAI, GitHub, and others. Updates every 3 hours.

ML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.

Open source office automation. Meeting Rooms, TV, Foosball Tracker, SMS Routing

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

This repo tracks the opened and merged PRs by the top SWE coding agents by OpenAI, GitHub, and others. Updates every 3 hours.

[ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, Zhangyang Wang

?? An innovative tool that transforms audio or video files into text transcripts and generates concise meeting minutes. Stay organized and efficient in your meetings, and get ready for Phase 2 where we'll be open for contributions to enable real-time meeting transcription! ?

Welcome to Awesome n8n – your new favorite destination for everything related to advanced n8n workflows, templates, and resources. After a monumental effort and countless hours of work, we have successfully created a clean, comprehensive, and properly formatted llms.txt file for the n8n-docs containing the complete official n8n documentation.

An expanded version of the previously released Kazakh text-to-speech (KazakhTTS) synthesis corpus. In KazakhTTS2, the overall size has increased from 93 hours to 271 hours, the number of speakers has risen from two to five (three females and two males), and the topic coverage has been diversified.

From Hours to Minutes: Lossless Acceleration of Ultra Long Sequence Generation