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

This is the open-source version of TinyTS. The code is dirty so far. We may clean the code in the future.

Code release for "TinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge Devices"

Neural Networks with low bit weights on low end 32 bit microcontrollers such as the CH32V003 RISC-V Microcontroller and others

Development and Deployment of the system leveraging the use of conventional feed forward neural network for crop recommendations , Implemented MlOps and Flask to create a web interface taking input data from on field soil conditions.

Notes on Machine Learning on edge for embedded/sensor/IoT uses

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

A lightweight header-only library for using Keras (TensorFlow) models in C++.

Machine Learning inference engine for Microcontrollers and Embedded devices

模型压缩的小白入门教程

A Fast, Portable Deep Reinforcement Learning Library for Continuous Control

[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

Efficient Machine Learning engine for MicroPython

Instructions, source code, and misc. resources needed for building a Tiny ML-powered artificial nose.

HVACGraphicsClassifier is an experimental tinyML project aimed at classifying HVAC control system graphics using computer vision. A project goal from the start is support of Tiny ML Micro, allowing models to be quantized to run on microcontrollers with the TensorFlow C library.

Our goal is to empower the visually impaired with tools that improve their independence at a reasonable cost!

Detect and identify different species of harmful algae within natural water in real-time with AI and a camera (i.e., ESP32-CAM, smartphone, or webcam).

This repository contains code for running Convolutional Neural Networks (CNNs) on CircuitPython. It contains code to train models using Tensorflow on computers and convert them to CircuitPython.

💍 Efficient tensor decomposition-based filter pruning