tinyml
There are 38 repositories under tinyml topic.
vitoplantamura / OnnxStream
Lightweight inference library for ONNX files, written in C++. It can run Stable Diffusion XL 1.0 on a RPI Zero 2 (or in 298MB of RAM) but also Mistral 7B on desktops and servers. ARM, x86, WASM, RISC-V supported. Accelerated by XNNPACK.
Language:C++ 1898mit-han-lab / once-for-all
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
Language:Python 1897- frugally-deep
Dobiasd / frugally-deep
A lightweight header-only library for using Keras (TensorFlow) models in C++.
Language:C++ 1083 [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
Language:C 831gigwegbe / tinyml-papers-and-projects
This is a list of interesting papers and projects about TinyML.
- rl-toolsLanguage:C++ 735
- deepC
ai-techsystems / deepC
vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers
Language:C++ 573 - Language:Python 548
[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
Language:Python 505Seeed-Studio / ModelAssistant
Seeed SenseCraft Model Assistant is an open-source project focused on embedded AI. 🔥🔥🔥
Language:Python 355- artificial-nose
kartben / artificial-nose
Instructions, source code, and misc. resources needed for building a Tiny ML-powered artificial nose.
Language:C 353 cpldcpu / BitNetMCU
Neural Networks with low bit weights on low end 32 bit microcontrollers such as the CH32V003 RISC-V Microcontroller and others
Language:C 257jonnor / embeddedml
Notes on Machine Learning on edge for embedded/sensor/IoT uses
Language:Jupyter Notebook 257bharathsudharsan / TinyML-CAM
Code for MobiCom paper 'TinyML-CAM: 80 FPS Image Recognition in 1 Kb RAM'
Language:Jupyter Notebook 249datawhalechina / awesome-compression
模型压缩的小白入门教程
lucaslie / torchprune
A research library for pytorch-based neural network pruning, compression, and more.
Language:Shell 160tinyMLx / courseware
In this repository you will find TinyML course syllabi, assignments/labs, code walkthroughs, links to student projects, and lecture videos (where applicable).
HollowMan6 / TinyML-ESP32
This is the TinyML programs for ESP32 according to BlackWalnut Labs Tutorials. (黑胡桃实验室的TinyML教程中的程序集合)
Language:C 154- Language:Rust 136
- MIRNet-TFLite-TRT
sayakpaul / MIRNet-TFLite-TRT
TensorFlow Lite models for MIRNet for low-light image enhancement.
Language:Jupyter Notebook 131 matteocarnelos / microflow-rs
A robust and efficient TinyML inference engine.
Language:Rust 111- Language:Jupyter Notebook 111
njadNissi / AI_from_scratch
Building Simple versions of AI (ML, DL, NN) models from scratch to help grasp the concepts
Language:Python 108emlearn / emlearn-micropython
Efficient Machine Learning engine for MicroPython
Language:Jupyter Notebook 107Santandersecurityresearch / CurrentSense-TinyML
Spying on Microcontrollers using Current Sensing and embedded TinyML models
Language:C++ 80LiangZai-Embedded / ThermalGesture_ESP32
在ESP32上实现基于红外热成像阵列传感器的手势识别
Language:C 79- pico-wake-word
henriwoodcock / pico-wake-word
MicroSpeech Wake Word example on the Raspberry Pi Pico. This is a port of the example on the TensorFlow repository.
Language:CMake 60 - Language:Jupyter Notebook 59
alankrantas / edge-impulse-esp32-cam-image-classification
Live Image Classification on ESP32-CAM and TFT with MobileNet v1 from Edge Impulse (TinyML)
Language:C 54- Language:Python 53
adrianagaler / Snoring-Detection
Tiny Machine Learning Snoring Detection Model for Embedded devices - Adriana Rotaru
Language:C++ 50hollance / TinyML-HelloWorld-ArduinoUno
The TinyML "Hello World" sine wave model on Arduino Uno v3
Language:Jupyter Notebook 50This repository holds the Arduino Library for the EdX TinyML Specialization
Language:C++ 48nesl / tinyodom
TinyOdom: Hardware-Aware Efficient Neural Inertial Navigation
odometrylocalizationroboticsinertial-odometryinertial-navigation-systemstinymlneural-architecture-searchtensorflow-lite-microhardware-awaremachine-learningneural-networktemporal-convolutional-networkbayesian-optimizationinertial-sensorspedestrian-dead-reckoninguavuuvpressure-sensorbarometerdead-reckoningLanguage:C++ 47Code for IoT Journal paper 'ML-MCU: A Framework to Train ML Classifiers on MCU-based IoT Edge Devices'
Language:C 44- COVID-Net
AlexSWong / COVID-Net
Launched in March 2020 in response to the coronavirus disease 2019 (COVID-19) pandemic, COVID-Net is a global open source, open access initiative dedicated to accelerating advancement in machine learning to aid front-line healthcare workers and clinical institutions around the world fighting the continuing pandemic. Towards this goal, our global multi-disciplinary team of researchers, developers, and clinicians have made publicly available a suite of tailored deep neural network models for tackling different challenges ranging from screening to risk stratification to treatment planning for patients with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Furthermore, we have made available fully curated, open access benchmark datasets comprised of some of the largest, most diverse patient cohorts from around the world.
