Wink-hub
Follow
Lists (1)
Stars
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
mini-spring是简化版的spring框架，能帮助你快速熟悉spring源码和掌握spring的核心原理。抽取了spring的核心逻辑，代码极度简化，保留spring的核心功能，如IoC和AOP、资源加载器、事件监听器、类型转换、容器扩展点、bean生命周期和作用域、应用上下文等核心功能。
一份通俗易懂、风趣幽默的Java学习指南，内容涵盖Java基础、Java并发编程、Java虚拟机、Java企业级开发、Java面试等核心知识点。学Java，就认准二哥的Java进阶之路😄
Code for Deep-learning Architecture for Short-term Passenger Flow Forecasting in Urban Rail Transit
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！
Multiple Imputation with LightGBM in Python
Code for "Interpolation-Prediction Networks for Irregularly Sampled Time Series", ICLR 2019.
分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputatio…
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
📈 A small, fast chart for time series, lines, areas, ohlc & bars
A Large-scale Benchmark Dataset for Data-Driven Streamflow Forecasting
LSTM Data and Model for Streamflow Forecasting
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing
My Web Apps by Streamlit. 通过Streamlit搭建的在线应用。
Timeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases
基于Vue + Echarts 构建的数据可视化平台，酷炫大屏展示模板和组件库，持续更新各行各业实用模板和炫酷小组件。
A clean, elegant, beautiful and powerful admin template, based on Vue3, Vite5, TypeScript, Pinia, NaiveUI and UnoCSS. 一个清新优雅、高颜值且功能强大的后台管理模板，基于最新的前端技术栈，包括 Vue3, Vite5, TypeScript, Pinia, NaiveUI 和 …
The open-source observability platform everyone needs!