Rowlingplus

China-software-copyright

Chinese software copyright application template document

KoopmanLab

A library for Koopman Neural Operator with Pytorch.

PytestAutoApi

本框架主要是基于 Python + pytest + allure + log + yaml + mysql + 钉钉通知 + Jenkins 实现的接口自动化框架，本框架优势在于易维护，功能丰富，测试人员只需要维护测试用例，零基础小白也可以快速上手，框架支持多环境、多角色任意切换，支持接口响应断言以及数据库断言。

Hy-AutoTest-Framework

设计并实现一个基于UI自动化、接口自动化、PO模式、数据驱动、关键字驱动、持续集成与持续发布、图像识别等技术的自动化测试框架。本框架选用 Selenium+Requests+pytest框架作为控制层进行逻辑验证，YAML作为持久层进行测试数据的存储，利用Logging 埋点记录日志，基于 Git+Jenkins 实现持续集成，之后在显示层通过钉钉机器人将漂亮的Allure测试报告持续交付至钉钉群，最终实现了自动化测试。

ServerManager

🚀简单易用的服务器集群管理系统

EdgeAdmin

CDN & WAF集群管理系统。

python-pytest-allure

This is a project for a web automation framework using Selenium, Python, Pytest and allure reports and page object model

web-ui

python+selenium+pytest+allure UI 自动化框架

SeleniumBase

📊 Blazing fast Python framework for web crawling, scraping, testing, and reporting. Supports pytest. Stealth options: UC Mode and CDP Mode. Multiple tools and integrations.

kaggle_hm_recommendations

My solution to the Kaggle competition predicting H&M personalized fashion recommendations

AI-and-competition

这里用来存储做人工智能项目的代码和参加数据挖掘比赛的代码

wechat-short-video-recommendation

微信短视频推荐大赛-初赛 10th

FECAM

About Code release for "FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting" ⌚

Koopa

Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305.18803

Attention_CNN_LSTM

Attention-CNN-LSTM model that predict exchange rate

Pytorch-lstm-attention

加了attention机制的多特征lstm预测模型

LSTM_EncDec_Attn

LSTM encoder-decoder with attention mechanism for time series prediction

Alibaba-Workflow-Prediction-with-Attention-Module

Encoder-Decoder-LSTM with Attention Module for Workflow Prediction on 2023 Alibaba Clusterdata

ST-GCN

Repository for advanced traffic forecasting models integrating GCN, LSTM/Bi-LSTM, and attention mechanisms for improved accuracy, including weather data processing.

time-series-autoencoder

PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series

VCformer

SDGL

The official implementation of SDGL

Wind-Speed-Forecast-AtGRU

Short-term wind speed forecasting model based on an attention-gated recurrent neural network and error correction strategy

TPGCN

The official implementation of Time-aware Personalized Graph Convolutional Network for Multivariate Time Series Forecasting

TopoGDN

Code repository of “Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis”

MTAD

MTAD: Tools and Benchmark for Multivariate Time Series Anomaly Detection

CSCLog

Code for CSCLog: A Component Subsequence Correlation-Aware Log Anomaly Detection Methods

tb_prediction_files

A multivariate multi-step LSTM forecasting model for tuberculosis incidence with model explanation

learning_to_rank

利用lightgbm做(learning to rank)排序学习，包括数据处理、模型训练、模型决策可视化、模型可解释性以及预测等。Use LightGBM to learn ranking, including data processing, model training, model decision visualization, model interpretability and prediction, etc.

timeshap

TimeSHAP explains Recurrent Neural Network predictions.