tensorflow-lite-micro
There are 35 repositories under tensorflow-lite-micro topic.
tinyMLx/courseware
In this repository you will find TinyML course syllabi, assignments/labs, code walkthroughs, links to student projects, and lecture videos (where applicable).
tinyMLx/colabs
This repository holds the Google Colabs for the EdX TinyML Specialization
SiliconLabs/mltk
A Python package with command-line utilities and scripts to aid the development of machine learning models for Silicon Lab's embedded platforms
nesl/tinyodom
TinyOdom: Hardware-Aware Efficient Neural Inertial Navigation
tinyMLx/arduino-library
This repository holds the Arduino Library for the EdX TinyML Specialization
PhilippvK/stm32-tflm-demos
Collection of STM32 projects making use of Tensorflow Lite Micro
nesl/auritus
Auritus: An Open-Source Optimization Toolkit for Training and Development of Human Movement Models and Filters Using Earables
nesl/neurosymbolic-tinyml
TinyNS: Platform-Aware Neurosymbolic Auto Tiny Machine Learning
bharathsudharsan/OTA-TinyML
Code for IEEE Internet Computing Journal paper 'OTA-TinyML: Over the Air Deployment of TinyML Models and Execution on IoT Devices'
QingChuanWS/TensorflowLiteMicro
Tensorflow Lite Micro is a DL inference framework for microcontrollers based on Google Tensorflow Lite
driedler/tflite_micro_runtime
TensorFlow Lite for Microcontrollers Python package for Raspberry Pi Zero
lupyuen/tflite-bl602
TensorFlow Lite for BL602
cargilgar/Smart-Alarm-using-tinyML
Sleep state prediction in embedded systems based on sensor data.
theevildoof/TinyML_OV7670
This repo contains all the necessary files to build a MNIST TinyML application, that works with an OV7670 camera module and TFT LCD module.
trylaarsdam/pio-tflite-lib
A PlatformIO library with the complete and (As of Aug 20, 2023) up-to-date version of Tensorflow Lite for Microcontrollers.
bkgoodman/espcam_training_tools
Web GUI to collect and categorize images from web cam (ESP-CAM, ESP-WHO) for ML training
anwaypimpalkar/smartElevatorSystem
A holistic device for safer and smarter contactless elevator system using Embedded Machine Learning on an Arduino Nano 33 BLE Sense, complete with a deployable PCB and fire safety system pipeline.
NavodPeiris/MobileNet_96x96_greyscale_weights
weights of MobileNetV1 and MobileNetV2 trained on greyscale images. supports 96x96 image inputs only. Useful for developing models for Edge devices like Android, IOS and Microcontrollers.
ebgoldstein/MokaPotNet
Detect a MokaPot with Tensorflow Lite Micro and an Arduino Portenta or OpenMV cam
Diego-Luna/Pinball-MoonMakers
MoonMakers-Pinball in a game that works in the browser, where we use our Arduino Nano 33 BLE Sense, as a command to control the imposition of our ball thanks to AI.
UNCG-DAISY/tinyCamML
flooding on roadways with TinyML
BaptisteZloch/MakeIT-How-to-deploy-a-linear-regression-on-Arduino-Nano-33
This repository is dedicated to the first tutorial of my YouTube channel.
Gurkengewuerz/microcontroller-tensorflow
Tensorflow lite used on a SAMD21 microcontroller in the arduino framework for activity recognition
NorthernMechatronics/tflm_digits
Optical digit recognition using Tensorflow Lite Micro on the NM180100
RDZDX/tflite_micro_runtime
tflite_micro_runtime for Raspberry Pi Zero
suburban-daredevil/Smart-Mask-Enforcement-System
A Smart Mask Enforcement System using Multitenant Cascading Architecture in TinyML
arrhythmia-detection/ESP32TFMicro
Abstracts away all the low-level complexity of TensorFlow Lite Micro and makes it really easy to deploy TFLM models on supported ESP32 boards. By default, this library prints per ops wise execution time via Serial. This makes it really easy to collect metrics for logging.
arrhythmia-detection/OptimizedMLPFloat32
Deploys a simple MLP to ESP32-S3 chip to do arrhythmia classification using Chapman ECG dataset
NorthernMechatronics/nmsdk2
Northern Mechatronics Software Development Kit V2
suburban-daredevil/Smart-Voice-Controlled-Lighting-System
Voice controlled Smart Lighting System using TinyML - My Alexa
TinyCompositeHAR/ESP32TFLiteCompositeHARModelDeployment
Deploy a simple MLP model onto ESP32-S3 board and collects metrics
TinyCompositeHAR/LowComputeCompositeADLModels
My CSE707 TinyML Mini Project that uses esp32 s3 dev kit to detect composite human activites On-Device (ESP32)
tu-thai/mtk3-ai-interpreter
Combining AI and RTOS for resource constrained embedded systems