[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
-
Updated
Dec 14, 2023 - Python
[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. 🔥🔥🔥
Source code generators for machine learning models.
SensiML's open-source AutoML solution for Edge AI model development
Code for WF-IoT paper 'TinyML Benchmark: Executing Fully Connected Neural Networks on Commodity Microcontrollers'
A tool to support using classification models in low-power and microcontroller-based embedded systems.
Perform AI-based heart monitoring tasks
URL Feature extraction and Engineering aided with Classification via Neural Networks
ROS2 wrapper for Edge Impulse
Code release for "TinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge Devices"
Official PyTorch training code of Accelerating Deep Neural Networks via Semi-Structured Activation Sparsity (ICCV2023-RCV)
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.
Python package to convert PyTorch models in Tensorflow Lite Models.
CAR BAC is a Raspberry Pi based visual recognition project that warns cyclists of vehicles approaching from the rear.
Integrated Systems Design Project (ISDP) - Object and Number Recognition on Autonomous Robot. #computervision #deeplearning #keras #tensorflow #tinyml
A Machine Learning framework in MicroPython
Add a description, image, and links to the tinyml topic page so that developers can more easily learn about it.
To associate your repository with the tinyml topic, visit your repo's landing page and select "manage topics."