Popular GitHub Repositories for Stream Render

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

Cross-platform, customizable ML solutions for live and streaming media.

? GPU accelerated Neural networks in JavaScript for Browsers and Node.js

Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.

Real time interactive streaming digital human

? Online machine learning in Python

? ChatGPT Android demonstrates a Chatbot application using OpenAI's chat API on Android with Stream Chat SDK for Compose.

Open Vision Agents by Stream. Build Vision Agents quickly with any model or video provider. Uses Stream's edge network for ultra-low latency.

? Stateful Serverless Framework for Geo-distributed Edge AI Infra. with function calling support, write once, run on any model.

A Vue 3 renderer specifically built for AI-powered streaming Markdown: Monaco incremental, Mermaid progressive, and KaTeX formula speed, with real-time updates and no jitter, ready to use out of the box.

High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.

Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.

App showcasing multiple real-time diffusion models pipelines with Diffusers

A machine learning package for streaming data in Python. The other ancestor of River.

An open-source computer vision framework to build and deploy apps in minutes

:twisted_rightwards_arrows: Neural Network (NN) Streamer, Stream Processing Paradigm for Neural Network Apps/Devices.

GeaFlow: A Streaming Graph Computing Engine.

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

Classify music genre from a 10 second sound stream using a Neural Network.