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2021-energy-windenergy

:zap: A novel decomposition-ensemble learning framework for multi-step ahead wind energy forecasting

adm-vrp

Dynamic Attention Model for Vehicle Routing Problem (arXiv:2002.03282)

arxiv

bigdata18

Transfer learning for time series classification

capsnet-keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.

ccsa

"Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

covid-net

COVID-Net Open Source Initiative

deep-coral-tf

A Tensorflow implementation of paper, Deep CORAL: Correlation Alignment for Deep Domain Adaptation

deep-reinforcement-learning-for-solving-job-shop-scheduling-problems

DRL on JSSPs

deeprl-for-job-shop-problem

Use reinforcement learning to solve jssp problems, using ZLP data sets

deeprm-scheduler

An implementation of Deep Reinforcement Learning for Multi-Resource Multi-Machine Job Scheduling

dlmidta

A DTA prediction model which integrates multi-layered information of drugs and proteins to obtain better prediction performance

drl_to_dfjsp

this repository is used to reappear thesis《Dynamic scheduling for flexible job shop with new job insertions by deep reinforcement learning》

dynamic-attention-model-for-vrp---pytorch

Implementation for the paper "A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model for Vehicle Routing Problems".

etdataset

The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

flexible-job-shop

Python implementation of a genetic algorithm for FJSP.

flexiblejobshopdynamicscheduling

flexible job shop static and dynamic scheduling based on SPT dispatch rules

flexiblejobshopscheduling

flexible job shop static scheduling based on improved iterative local search algorithm

genetic-algorithm-for-job-shop-scheduling-and-nsga-ii

Learning how to implement GA and NSGA-II for job shop scheduling problem in python

hdnnmv2.0

use a new DNN net work to solute the job shop problem, deep learning method named HDNNM

informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

jobshoppro

Program for managing orders, planning and scheduling in job shop production system using popular heuristics alghorithms.

jsplib

Benchmark instances for job-shop scheduling problem

jssenv

An OpenAi Gym environment for the Job Shop Scheduling problem.

ltsf-linear

This is the official implementation for AAAI-23 paper "Are Transformers Effective for Time Series Forecasting?"

mann

Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)

mechanical-datasets

metaqnn

multivariate_timeseries_dilated_conv

Multivariate Time Series Classification using Dilated Convolutional Neural Network