A Fast, Portable Deep Reinforcement Learning Library for Continuous Control
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Updated
Jun 14, 2024 - C++
A Fast, Portable Deep Reinforcement Learning Library for Continuous Control
A device to monitor your plant's needs such as soil moisture, nutrients, and harvest time!
CMOS preprocessor design based on neural networks for detecting heart rate.
Machine Learning inference engine for Microcontrollers and Embedded devices
Notes on Machine Learning on edge for embedded/sensor/IoT uses
A lightweight header-only library for using Keras (TensorFlow) models in C++.
My learning record for <TinyML and Efficient Deep Learning Computing>
Seeed SenseCraft Model Assistant is an open-source project focused on embedded AI. 🔥🔥🔥
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.
Neural Networks with low bit weights on low end 32 bit microcontrollers such as the CH32V003 RISC-V Microcontroller and others
A robust and efficient TinyML inference engine.
Lightweight inference library for ONNX files, written in C++. It can run SDXL on a RPI Zero 2 but also Mistral 7B on desktops and servers.
Efficient Machine Learning engine for MicroPython
Quickly detect and classify different species of harmful algae within natural water in real-time with AI and a camera (i.e., ESP32-CAM, smartphone, or webcam).
Our goal is to empower the visually impaired with tools that improve their independence at a reasonable cost!
This repository contains code and instructions to implement single word speech recognition on any board running CircuitPython
Source code generators for machine learning models.
Perform AI-based heart monitoring tasks
💍 Efficient tensor decomposition-based filter pruning
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