Edge Impulse
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courseware-embedded-machine-learning
courseware-embedded-machine-learning Public -
example-esp32-cam
example-esp32-cam PublicBuilds and runs an exported image classification impulse on ESP32 Cam
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firmware-espressif-esp32
firmware-espressif-esp32 PublicEdge Impulse firmware for the Espressif ESP-EYE(ESP32) Development board
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inferencing-sdk-cpp
inferencing-sdk-cpp PublicPortable C++ library for signal processing and machine learning inferencing
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firmware-arduino-nano-33-ble-sense
firmware-arduino-nano-33-ble-sense PublicEdge Impulse firmware for the Arduino Nano 33 BLE Sense development board
Repositories
- example-standalone-inferencing-avh Public
Example Standalone for Arm Virtual Hardware using CMSIS toolbox
edgeimpulse/example-standalone-inferencing-avh’s past year of commit activity - inferencing-sdk-cpp Public
Portable C++ library for signal processing and machine learning inferencing
edgeimpulse/inferencing-sdk-cpp’s past year of commit activity - gst-plugins-edgeimpulse Public
GStreamer plugin to run AI/ML inference via Edge Impulse machine learning models
edgeimpulse/gst-plugins-edgeimpulse’s past year of commit activity - expert-projects Public
edgeimpulse/expert-projects’s past year of commit activity - obd-automotive-data Public
edgeimpulse/obd-automotive-data’s past year of commit activity - ai-hub-models Public Forked from quic/ai-hub-models
The Qualcomm® AI Hub Models are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
edgeimpulse/ai-hub-models’s past year of commit activity