tinyml
There are 274 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.
mit-han-lab/once-for-all
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
Dobiasd/frugally-deep
A lightweight header-only library for using Keras (TensorFlow) models in C++.
gigwegbe/tinyml-papers-and-projects
This is a list of interesting papers and projects about TinyML.
mit-han-lab/tinyengine
[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
rl-tools/rl-tools
The Fastest Deep Reinforcement Learning Library
emlearn/emlearn
Machine Learning inference engine for Microcontrollers and Embedded devices
ai-techsystems/deepC
vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers
mit-han-lab/mcunet
[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
Seeed-Studio/ModelAssistant
Seeed SenseCraft Model Assistant is an open-source project focused on embedded AI. 🔥🔥🔥
kartben/artificial-nose
Instructions, source code, and misc. resources needed for building a Tiny ML-powered artificial nose.
datawhalechina/awesome-compression
模型压缩的小白入门教程，PDF下载地址 https://github.com/datawhalechina/awesome-compression/releases
ZantFoundation/Z-Ant
Zant simplifies the deployment and optimization of neural networks on microprocessors
bharathsudharsan/TinyML-CAM
Code for MobiCom paper 'TinyML-CAM: 80 FPS Image Recognition in 1 Kb RAM'
jonnor/embeddedml
Notes on Machine Learning on edge for embedded/sensor/IoT uses
cpldcpu/BitNetMCU
Neural Networks with low bit weights on low end 32 bit microcontrollers such as the CH32V003 RISC-V Microcontroller and others
tinyMLx/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)
lucaslie/torchprune
A research library for pytorch-based neural network pruning, compression, and more.
matteocarnelos/microflow-rs
A robust and efficient TinyML inference engine.
hotg-ai/rune
Rune provides containers to encapsulate and deploy edgeML pipelines and applications
sayakpaul/MIRNet-TFLite-TRT
TensorFlow Lite models for MIRNet for low-light image enhancement.
tinyMLx/colabs
This repository holds the Google Colabs for the EdX TinyML Specialization
emlearn/emlearn-micropython
Efficient Machine Learning engine for MicroPython
njadNissi/AI_from_scratch
Building Simple versions of AI (ML, DL, NN) models from scratch to help grasp the concepts
LiangZai-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
Santandersecurityresearch/CurrentSense-TinyML
Spying on Microcontrollers using Current Sensing and embedded TinyML models
nesl/agrobot
Neural-Kalman GNSS/INS Navigation for Precision Agriculture
henriwoodcock/pico-wake-word
MicroSpeech Wake Word example on the Raspberry Pi Pico. This is a port of the example on the TensorFlow repository.
sensiml/piccolo
SensiML's open-source AutoML solution for Edge AI model development
alankrantas/edge-impulse-esp32-cam-image-classification
Live Image Classification on ESP32-CAM and TFT with MobileNet v1 from Edge Impulse (TinyML)
nesl/tinyodom
TinyOdom: Hardware-Aware Efficient Neural Inertial Navigation
adrianagaler/Snoring-Detection
Tiny Machine Learning Snoring Detection Model for Embedded devices - Adriana Rotaru
tinyMLx/arduino-library
This repository holds the Arduino Library for the EdX TinyML Specialization
hollance/TinyML-HelloWorld-ArduinoUno
The TinyML "Hello World" sine wave model on Arduino Uno v3
bharathsudharsan/ML-MCU
Code for IoT Journal paper 'ML-MCU: A Framework to Train ML Classifiers on MCU-based IoT Edge Devices'