🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

物联大师是开源免费的物联网平台，集成了标准Modbus和主流PLC等多种协议，支持数据采集、公式计算、定时控制、自动控制、异常报警、流量监控、Web组态、远程调试等功能，适用于大部分物联网和工业互联网应用场景。

Real-time stock price prediction app using LSTM, Streamlit, and historical data (2010–2023). Forecasts next 10 days & visualizes trends.

The code trains an LSTM-based residual model on human motion data and applies transfer learning to detect robotic joint faults. It preprocesses data, maps robot features to human-like patterns, and…

整理的一百多个安卓和js逆向相关的公众号

Large Language Model framework for machine fault diagnosis using FFT and statistical features from time-series vibration data.

🌊 Online machine learning in Python

The official BatteryLife repository

🎉 (RuoYi)官方仓库 基于SpringBoot，Spring Security，JWT，Vue & Element 的前后端分离权限管理系统，同时提供了 Vue3 的版本

physics-guided neural networks (phygnn)

A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

Master thesis of Timesereis Forecasting of Cost per click using LLMs to model comptetition

Java 面试 & 后端通用面试指南，覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发

一款 AI 驱动的低代码平台，提供"零代码"与"代码生成"双模式——零代码模式一句话搭建系统，代码生成模式自动输出前后端代码与建表 SQL，生成即可运行。平台内置 AI 聊天助手、AI大模型、知识库、AI流程编排、MCP 与插件体系，兼容主流大模型，支持一句话生成流程图、设计表单、聊天式业务操作，解决 Java 项目 80% 重复工作，高效且不失灵活。

🎉 ThriveX 是一个年轻、高颜值、全开源、永不收费的现代化博客管理系统。它采用前后端分离开发模式，是一个 NextJS + Spring Boot 的产物

基于Vue3 + THREE.JS 免费开源的三维引擎及配套编辑器，包含BIM轻量化、CAD解析预览、粒子系统、插件系统等功能。 A free and open-source 3D engine based on Vue3 + THREE.JS and its accompanying editor, featuring functions such as BIM lightweightin…

Compilation and summary of research articles utilizing the XJTU battery dataset, including detailed records of results for easy comparison and reference.

Time-R1 is a two-stage reinforcement fine-tuning framework that trains large language models to perform slow-thinking, step-by-step reasoning for accurate and explainable time series forecasting.

A demonstration of the explainerdashboard package that that displays model quality, permutation importances, SHAP values and interactions, and individual trees for sklearn RandomForestClassifiers, etc

Simple flask skeleton for a stateless microservice (application for ml models, optimization, ...)

智能故障诊断和寿命预测期刊（Journals of Intelligent Fault Diagnosis and Remaining Useful Life）

每个人都能看懂的大模型知识分享，LLMs春/秋招大模型面试前必看，让你和面试官侃侃而谈

这是若依极客生态后端的Springboot 3版本。配合若依极客生态的Vue3版本，该版本在支付模块和第三方登录模块方面进行了基础设计工作，并针对代码生成器进行了显著增强，现在支持字段级别的关联表操作。此外，新增了在线接口开发模块，该模块允许用户通过在线方式使用mybatis来修改接口。其他功能模块也正在持续更新和完善中。

Learning notes & research

Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)

A Library for Advanced Deep Time Series Models for General Time Series Analysis.

Django starter project with 🔋

This is a reposotory that includes paper about LLM-based fault diagnosis and prognosis. (基于大模型的故障诊断和预测，持续更新)

Multi-modal graph neural network for early diagnosis of Alzheimer’s disease from sMRI and PET scans