微人事是一个前后端分离的人力资源管理系统，项目采用SpringBoot+Vue开发。

Draw a mockup and generate html for it

人脸检测加表情识别

生产排程的优化，柔性作业车间调度

A simple but complete full-attention transformer with a set of promising experimental features from various papers

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

Pytorch lightning implementation of the original Graph WaveNet

This repository contains the official implementation code of the paper Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis, accepted at E…

Summary of open source code for deep learning models in the field of traffic prediction

Deep Adaptive Input Normalization for Time Series Forecasting

Theory-guided deep-learning load forecasting is a short-term load forecasting model that combines domain knowledge and machine learning algorithms.

Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models

A Transformer-based joint-encoding for Emotion Recognition and Sentiment Analysis

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version

graph wavenet

short-term load forecasting with deep residual networks

交通·未来系列线上公益学术活动PPT

Short-term load forecasting

本项目计划使用.Net实现一个工厂生产排程管理系统，提供完全部属在Windows上的生产计划排成功能。

基于深度学习的多特征电力负荷预测

使用多种算法（线性回归、随机森林、支持向量机、BP神经网络、GRU、LSTM）进行电力系统负荷预测/电力预测。通过一个简单的例子。A variety of algorithms (linear regression, random forest, support vector machine, BP neural network, GRU, LSTM) are used for power …