Distributed Volunteer Computing with IOT
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Updated
Jun 12, 2024 - C
Distributed Volunteer Computing with IOT
SLEdge: a serverless runtime designed for the Edge.
Speech Recognition using STM32 and Machine Learning
🚀 A fast WebAssembly interpreter and the most universal WASM runtime
Vision Components MIPI CSI-2 driver for NVIDIA Jetson Nano, Xavier NX, AGX Xavier, TX2 and Orin Nano, Orin NX
EdgeDevX for Edge devices on POSIX compatible systems.
LoRa Peer to Peer link (Network layer)
Open Neural Network Exchange to C compiler.
Basic setup for managing Edge nodes and devices, and is designed to meet Fluidos project requirements
[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
Hackster.io competition (to build you'll need the version of tensorflow provided in the tflm branch)
ANT (AI-based Networked Things) Framework
Official Github repository for the CCS '23 paper "Using Range-Revocable Pseudonyms to Provide Backward Unlinkability in the Edge"
AtomML™ is an AI engine that can operate on low power edge and endpoint devices. It can learn the pattern of any and all time series data and can be used to detect anomalies or abnormalities, make one step ahead predictions/forecasts, and calculate the remaining life of entities (whether it is industrial machinery, small devices or the like).
microblx: real-time, embedded, reflective function blocks.
Decentralized stackable aeroponic system for optimal yields. 2nd place in Smarter Sustainable World Challenge with Nordic Semiconductor
Code for IoT Journal paper 'ML-MCU: A Framework to Train ML Classifiers on MCU-based IoT Edge Devices'
Code for paper 'Train++: An Incremental ML Model Training Algorithm to Create Self-Learning IoT Devices'
Smart vending machine with non-contact interaction based on gesture recognition
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