[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
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.
A lightweight header-only library for using Keras (TensorFlow) models in C++.
[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
This is a list of interesting papers and projects about TinyML.
vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers
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. 🔥🔥🔥
Instructions, source code, and misc. resources needed for building a Tiny ML-powered artificial nose.
Code for MobiCom paper 'TinyML-CAM: 80 FPS Image Recognition in 1 Kb RAM'
Notes on Machine Learning on edge for embedded/sensor/IoT uses
Neural Networks with low bit weights on low end 32 bit microcontrollers such as the CH32V003 RISC-V Microcontroller and others
A research library for pytorch-based neural network pruning, compression, and more.
A Fast, Portable Deep Reinforcement Learning Library for Continuous Control
This is the TinyML programs for ESP32 according to BlackWalnut Labs Tutorials. (黑胡桃实验室的TinyML教程中的程序集合)
In this repository you will find TinyML course syllabi, assignments/labs, code walkthroughs, links to student projects, and lecture videos (where applicable).
Rune provides containers to encapsulate and deploy edgeML pipelines and applications
TensorFlow Lite models for MIRNet for low-light image enhancement.
This repository holds the Google Colabs for the EdX TinyML Specialization
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