Deep learning models for ECG signal denoising (FCN-DAE-RES, DRNN, and ablation studies). Includes scripts for preprocessing, training, evaluation, and model comparison using MIT-BIH datasets

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…

A toolbox that provides a common framework for benchmarks of multi-component signal processing methods.

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

Signal decomposition using quadratic time-frequency distributions

[IJCAI 2025] Official implementation of "T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models"

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…

Overview: The Signal Denoising Transformer (DeT) is a deep learning model designed to remove noise from one-dimensional biosignals (e.g., EEG, EMG). By breaking the input sequence into fixed-length…

A curated collection of public industrial datasets.

Awesome things about domain generalization, including papers, code, etc.

This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learna…

Using Kolmogorov-Arnold Networks and other well-known models such as MLP-NN, LSTM, GRU, RF, GPR, and SVR for predicting and forecasting time series Chlorophyll-a concentration.

🔥「AI 低代码平台」前后端分离 SpringBoot 2.x/3.x，SpringCloud，Ant Design&Vue3，Mybatis，Shiro！强大的代码生成器让前后端代码一键生成，无需写任何代码! 引领AI低代码开发模式 AI生成->OnlineCoding->代码生成->手工MERGE，帮助Java项目解决80%重复工作，让开发更关注业务，提高开发效率、节省成本，同时又不失灵活性

Official code, datasets and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models" (ICML 2024)

ARMA Transformer 时间序列预测模型

Physics-informed Markov chains for remaining useful life prediction of wire bonds in power electronic modules

This repository contains a unified AI pipeline for predictive maintenance (PdM), tool wear prediction, and process optimization. It focuses on using the **CIP-DMD dataset** for tasks like Remaining…

KAF : Kolmogorov-Arnold Fourier Networks

大数据采集,抽取平台,zdh_web是zdh系列服务的可视化管理平台，包含数据采集,调度,权限,审批流,私域营销等模块

AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法…

基于threejs 实现的数字孪生智慧大屏

Codes and collected datasets for the multimodal ADP research at MEEM MTU

Implementation of RFS-DFN on PHM2010 and Muddestreda datasets

A public repository containing the data and code for the paper "Explainable fault and severity classification for rolling element bearings using Kolmogorov-Arnold networks".

此存储库中存放的是PHM2010铣刀磨损数据相关算法

Leveraging multiple deep learning models for fault diagnosis

Codebase for Automated Creation of Digital Cousins for Robust Policy Learning