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- https://www.researchgate.net/profile/Athanasios-Trigkas-3
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ESP32 hsp_hf bluetooth profile using the bluekitchen/btstack
Realtime AI Voice Agents with SoTA Multimodal AI models on Arduino ESP32 with >15 minutes uninterrupted conversations globally for AI toys, AI companions, AI devices and more
Raspberry Pi Hat for bidirectional 3V3 to 5V Level Shifting
On-Device Training Under 256KB Memory [NeurIPS'22]
This repo contains the code developed for my master thesis
Bindings for ESP-IDF (Espressif's IoT Development Framework)
A Rust Embedded-HAL for the rp series microcontrollers
Official QEMU mirror. Please see https://www.qemu.org/contribute/ for how to submit changes to QEMU. Pull Requests are disabled. Please only use release tarballs from the QEMU website.
ESP32-P4 dynamic RISC-V compiler - faster iteration (1-2s vs 30-60s firmware rebuild) | Native performance, zero interpreter overhead | NumPy integration with automatic type conversion & memory man…
Open source web based machine learning framework for MCUs
Easy to use device for connecting "old" measuring units (water, power, gas, ...) to the digital world
Espressif IoT Development Framework. Official development framework for Espressif SoCs.
Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).
This repo contains the uwb-core driver for Decawave DW1000 transceiver.
Research repository for developing a people counting system in target spaces using the IR-UWB radar X4M06
This is the repo for hosting the code and examples of paper "How to Manage TinyML at Scale"
TinyML project. This system monitors your room or surrounding with an onboard microphone of Arduino nano BLE sense. Still Under Developement
In this tutorial we will introduce software defined radios (SDR) and explore the application of machine learning (ML) to radio frequency (RF) systems. An explanation of the SDR hardware and the sof…
A scheme for privacy-preserving learning on Tiny Devices.
Every work on Federated Learning Pruning