marcusdust

zihao_course

同济子豪兄的公开课

lime

Lime: Explaining the predictions of any machine learning classifier

TS-TCC

[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

motion-sense

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope) (PMC Journal) (IoTDI'19)

LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

ap-ml-person-detector

This software pack helps developers build products that are required to detect people using NXP’s i.MX RT1170 crossover MCU and eIQ® ML Software Development Environment. This project includes tested algorithms for Vision Intelligence (uVITA) and provides production quality software for customers to include in their end products.

sktime

A unified framework for machine learning with time series

ap-ml-state-monitor

This software pack enables developers to develop and deploy neural networks on MCU-based systems for building smart sensing applications. This example shows how to use ML to create a fan vibration state monitoring solution.

timeseries101

本教程独立网站已上线

Practical-Time-Series-Analysis

Practical Time-Series Analysis, published by Packt

devtools

Open-CMSIS-Pack development tools - C++

jerryscript

Ultra-lightweight JavaScript engine for the Internet of Things.

tiny-training

On-Device Training Under 256KB Memory [NeurIPS'22]

BayesianOptimization

A Python implementation of global optimization with gaussian processes.

tods

TODS: An Automated Time-series Outlier Detection System

triplet_loss_kws

Learning Efficient Representations for Keyword Spotting with Triplet Loss

OpenVX-sample-impl

OpenVX sample implementation

MyWebserver-flask

python + flask + LayUI + mysql 网站模板

Book-Management-System

Flask + LayUI + SQLite，图书管理系统

layui

一套遵循原生态开发模式的 Web UI 组件库，采用自身轻量级模块化规范，易上手，可以更简单快速地构建网页界面。

multilingual_kws

Few-shot Keyword Spotting in Any Language and Multilingual Spoken Word Corpus

HydraPlus-Net

honk

PyTorch implementations of neural network models for keyword spotting

MobileNet-Yolo

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:

Yolo-Fastest

:zap: Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and the mobile terminal can run up to 178fps+

nanodet

NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

movenet

Un-official implementation of MoveNet from Google

openeb

Open source SDK to create applications leveraging event-based vision hardware equipment

prophesee-automotive-dataset-toolbox

A set of Python scripts to evaluate the Automotive Datasets provided by Prophesee

TinyMaix

TinyMaix is a tiny inference library for microcontrollers (TinyML).