[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
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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. 🔥🔥🔥
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
Source code generators for machine learning models.
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.
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
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.
A Machine Learning framework in MicroPython
CAR BAC is a Raspberry Pi based visual recognition project that warns cyclists of vehicles approaching from the rear.
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