[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

Machine Learning inference engine for Microcontrollers and Embedded devices

[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning

Seeed SenseCraft Model Assistant is an open-source project focused on embedded AI. 🔥🔥🔥

Building Simple versions of AI (ML, DL, NN) models from scratch to help grasp the concepts

SensiML's open-source AutoML solution for Edge AI model development

DNN Compiler for Heterogeneous SoCs

Source code generators for machine learning models.

Code for WF-IoT paper 'TinyML Benchmark: Executing Fully Connected Neural Networks on Commodity Microcontrollers'

[Tiny VAD] SG-VAD: Stochastic Gates Based Speech Activity Detection

Jamming Detection in IoT Wireless Networks using TinyML -- Code and Dataset

A tool to support using classification models in low-power and microcontroller-based embedded systems.

Fast and Computationally efficient Continual Learning for NanoDet anchor-free Object Detector

URL Feature extraction and Engineering aided with Classification via Neural Networks

ROS2 wrapper for Edge Impulse

[Tiny KWS] SparkNet: Sparse Binarization for Fast Keyword Spotting

🌠 Enhanced Network Compression Through Tensor Decompositions and Pruning

Development framework for the BioDCASE-Tiny 2025 competition

Application of TinyML on an ESP32 system. To sample ECG data, feature gather and output new ML model based on sampled data to be re-compiled into ESP32.

A Machine Learning framework in MicroPython