zangzelin Goto Github PK

2018-graduate-mathematical-modeling-competition-b

This project is the problem solving code for the Question B of the graduate mathematics modeling competition. Modeling of Fibre Channel and Fiber Network Value

age

Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"

attention-learn-to-route

Attention based model for learning to solve different routing problems

auto-encoder-ae-sae-dae-cae-dae-with-keras-in-mnist-and-report

big-data-server-scheduling-1

This code solves the scheduling problem of a large number of servers. The 68219 tasks are scheduled to 6000 servers, taking into account the constraints of the server's cpu, MEM, DISK, and app constraints. I have tried to use PYHON, MINZINC, GUROBI and other tools to solve, using the firstfit method, localsearch method and random algorithm.

blood

car-long-term-forecasting-lstm

Long-term forecasting of traffic flow using the lstm method

code_diffaug_icml24

code_eccv2022_dlme

code_evnet_dmtev

code_must

code_san_share

code_usd

correlation-analysis-between-consumer-price-index-and-service-price-index

This project uses the statistical data of Hebei Province from 2011 to 2017 to analyze the consumer consumption index and the service price index and the consumer price index. Using python3.6 as a development tool, the correlation coefficient is calculated on a monthly basis, and the correlation curve is drawn.

deep-q-learning-dqn-for-job-shop

This is the python code of deep q learning method for job shop problem with keras.

deep_frist_searching_al_to_solve_eight_numbrt_question

deeprl-for-job-shop-problem

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

deepscheduling

only use for project of zjut.

diffaug

dimensionality-reduction-with-pytorch

ds_theory_python_code

dual-world-network-model

Double world network matlab code

fish_swarm_algorithm_matlab_code

flowshop-hdnnm

This article uses the HDNNM method to solve the flowshop problem.

flowshop-zlp-generate-code-with-minizinc

This project is used to generate problems with flowshop problems and solutions to solve problems using the minizinc modeling tool.

four-rotor-aircraft-stc15

ga_tsp_problem_used_in_robot

gcml

Code for WACV 2022 paper "Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation"

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

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

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