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apc1-arduino

Arduino library for the Air Purification Combo ONE (APC1) sensor

bird-sound-classifier-on-the-edge

The project attempts to recognize different bird calls by continuously listening to the audio through the onboard mic of the nano33 BLE Sense. The bird's call heard will be consumed by the model to classify it as one amongst the trained birds.

courseware

In this repository you will find TinyML course syllabi, assignments/labs, code walkthroughs, links to student projects, and lecture videos (where applicable).

edge-impulse-espidf

Builds and runs an exported impulse locally (ESP IDF)

esp-dl

Espressif deep-learning library for AIoT applications

esp-idf

Espressif IoT Development Framework. Official development framework for Espressif SoCs.

esp32-s3_multiimpulse

Example of running keyword spotting + FOMO on XIAO ESP32-S3 Sense using ESP-IDF

esp32-s3_object_identification_ei

This is object that uses XIAO ESP32-S3 and OV2640 camera to run object identification model from Edge Impulse.

esp8266_temp_hum_logger

firmware-arduino-nano-33-ble-sense

Edge Impulse firmware for the Arduino Nano 33 BLE Sense development board

generative-ai

Sample code and notebooks for Generative AI on Google Cloud

hand_gesture_recog

inferencing-sdk-cpp

Portable C++ library for signal processing and machine learning inferencing

ngods

New Generation Opensource Data Stack

spectrogram

Web Audio Spectrogram

spectrogram_simplejs

Live sound spectrogram in JavaScript. It can be configured to change buffer size, FFT function, colormap, window type, minimum and maximum frequencies, loudness sensibility, scrolling direction, scrolling speed and pause scrolling.

standalone-inferencing-cpp

Builds and runs an exported impulse locally (C++)

standalone-inferencing-espressif-esp32

Builds and runs an exported impulse locally (ESP IDF)

tflite-micro-esp-examples

TensorFlow Lite Micro for Espressif Chipsets

xiao-esp32s3-sense

Seeed Studio XIAO ESP32S3 Sense integrates a camera sensor, digital microphone, and SD card support. Combining embedded ML computing power and photography capability, this development board is a great tool to get started with TinyML (intelligent voice and vision AI).