shaoxiaorui Goto Github PK
Type: User
Type: User
:zap: A novel decomposition-ensemble learning framework for multi-step ahead wind energy forecasting
Dynamic Attention Model for Vehicle Routing Problem (arXiv:2002.03282)
Transfer learning for time series classification
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error = 0.34%.
"Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)
We are building an open database of COVID-19 cases with chest X-ray or CT images.
COVID-Net Open Source Initiative
A Tensorflow implementation of paper, Deep CORAL: Correlation Alignment for Deep Domain Adaptation
DRL on JSSPs
Use reinforcement learning to solve jssp problems, using ZLP data sets
An implementation of Deep Reinforcement Learning for Multi-Resource Multi-Machine Job Scheduling
A DTA prediction model which integrates multi-layered information of drugs and proteins to obtain better prediction performance
this repository is used to reappear thesis《Dynamic scheduling for flexible job shop with new job insertions by deep reinforcement learning》
Implementation for the paper "A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model for Vehicle Routing Problems".
The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.
Python implementation of a genetic algorithm for FJSP.
flexible job shop static and dynamic scheduling based on SPT dispatch rules
flexible job shop static scheduling based on improved iterative local search algorithm
Learning how to implement GA and NSGA-II for job shop scheduling problem in python
use a new DNN net work to solute the job shop problem, deep learning method named HDNNM
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
Program for managing orders, planning and scheduling in job shop production system using popular heuristics alghorithms.
Benchmark instances for job-shop scheduling problem
An OpenAi Gym environment for the Job Shop Scheduling problem.
This is the official implementation for AAAI-23 paper "Are Transformers Effective for Time Series Forecasting?"
Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)
Multivariate Time Series Classification using Dilated Convolutional Neural Network
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.