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LaTeX Template for Shanghai University Master's Thesis.
Red-billed blue magpie optimizer: a novel metaheuristic algorithm for 2D/3D UAV path planning and engineering design problems
Voice Recognition to Text Tool / 一个离线运行的本地音视频转字幕工具，输出json、srt字幕、纯文字格式
The Business Charts panel allows you to integrate charts and graphs created by the Apache ECharts library into your Grafana dashboard.
Liquid Fill Chart for Apache ECharts
A plugin for leaflet to load echarts3 map and Make big data visualization easier.
A plugin for ArcGIS JS API to load echarts3 map and Make big data visualization easier.
Secured Constraints Unit Commitment model of Power system, including the model based on AC flow equation and DC flow equation. Only the constraints in pre-contingency state are considered. There is…
This set of codes implements our TPWRS paper "Security-Constrained Unit Commitment Considering Locational Frequency Stability in Low-Inertia Power Grids". This work is under the open license: CC BY…
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Power Market Tool for the comprehensive analyses of modern electricity markets (Python+Julia)
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
SOC Estimation for LiFPO4 battery using Extended Kalman Filter
经济学人(含音频)、纽约客、卫报、连线、大西洋月刊等英语杂志免费下载,支持epub、mobi、pdf格式, 每周更新
Computer vision assisted tool to extract numerical data from plot images.
clash for windows汉化版. 提供clash for windows的汉化版, 汉化补丁及汉化版安装程序
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"
Adapted the model from "Exploring Contrastive Learning in Human Activity Recognition for Healthcare" as a baseline in our current project
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
该项目可以让你通过订阅的方式使用Cloudflare WARP+，自动获取流量。This project enables you to use Cloudflare WARP+ through subscription, automatically acquiring traffic.
PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)
A universal time series representation learning framework