Stars
An open source SDK for logging, storing, querying, and visualizing multimodal and multi-rate data
A Yule log extension for GitHub CLI. ฬถYฬถuฬถlฬถeฬถ You'll love it! ๐ชต ๐ฅ
The RAG Experiment Accelerator is a versatile tool designed to expedite and facilitate the process of conducting experiments and evaluations using Azure Cognitive Search and RAG pattern.
Omnilingual ASR Open-Source Multilingual SpeechRecognition for 1600+ Languages
The Swagger/OpenAPI toolchain for .NET, ASP.NET Core and TypeScript.
This repository hosts a collection of samples designed to help you explore and integrate the features of the Meta Mixed Reality Utility Kit (MRUK) into your projects.
Three.js-based implementation of 3D Gaussian splatting
Pulumi - Infrastructure as Code in any programming language ๐
"rsync for cloud storage" - Google Drive, S3, Dropbox, Backblaze B2, One Drive, Swift, Hubic, Wasabi, Google Cloud Storage, Azure Blob, Azure Files, Yandex Files
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
M3U8Parser makes it easy to read, edit and create a m3u8 file.
SwiftShader is a high-performance CPU-based implementation of the Vulkan graphics API. Its goal is to provide hardware independence for advanced 3D graphics.
A comprehensive collection of modular libraries for high-performance graphics development
3DGS-to-PC: 3D Gaussian Splatting to Dense Point Clouds [3D-VAST: ICCVW 2025]
Easily display interactive 3D models on the web and in AR!
Original reference implementation of "VRSplat: Fast and Robust Gaussian Splatting for Virtual Reality"
Replace 'hub' with 'ingest' in any GitHub URL to get a prompt-friendly extract of a codebase
Sample viewer implementing several rendering methods for 3D gaussians using Vulkan API
Docker build for FFmpeg on Ubuntu / Alpine / Centos / Scratch / nvidia / vaapi
CLI tool for 3D Gaussian splat format conversion and transformation
The Open Source 3D Reconstruction Toolbox for Gaussian Splats provides an end-to-end, pipeline-based guidance on AWS to reconstruct 3D scenes or objects from images or video inputs.
Examples of using Depth API for real-time, dynamic occlusions