Popular GitHub Repositories for Iot Protocols

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

The Cloud-Native API Gateway and AI Gateway

Experience, Learn and Code the latest breakthrough innovations with Microsoft AI

An open source quadruped robot pet framework for developing Boston Dynamics-style four-legged robots that are perfect for STEM, coding & robotics education, IoT robotics applications, AI-enhanced robotics application services, research, and DIY robotics kit development.

An open source quadruped robot pet framework for developing Boston Dynamics-style four-legged robots that are perfect for STEM, coding & robotics education, IoT robotics applications, AI-enhanced robotics application services, research, and DIY robotics kit development.

A Curated list of IoT Security Resources

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code ?.

A privacy-first, open-source home assistant

PJON (Padded Jittering Operative Network) is an experimental, arduino-compatible, multi-master, multi-media network protocol.

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

TinyML AI inference library

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

Deep learning gateway on Raspberry Pi and other edge devices

connect any ai agents to solana protocols

A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends

A higher-level Neural Network library for microcontrollers.

A Model Context Protocol (MCP) Gateway. Serves as a central management point for tools, resources, and prompts that can be accessed by MCP-compatible LLM applications. Converts REST API endpoints to MCP, composes virtual MCP servers with added security and observability, and converts between protocols (stdio, SSE).

[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256KB Memory

Power Tools for AI Engineers With Deadlines