Pinned Repositories
AlphaTree-graphic-deep-neural-network
AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱
Automation-of-a-Production-Line
Automating the production of a flexible production line simulator, development of a MES (Manufacturing Execution System) to monitor and manage the production on the plant floor and development of an ERP (Enterprise Resource Planning) module to receive orders from clients and schedule acquisition orders as well as production orders.
DDQN_FJSP
Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
Deep_Reinforcement_Learning_FJSP
DFJSP
重调度
Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
DJSP
DRL for DJSP
docplex-examples
These samples demonstrate how to use the DOcplex library to model and solve optimization problems.
DQN-fjsp
代码学习使用
CCV7's Repositories
CCV7/MHGNN_FJSP
CCV7/AlphaTree-graphic-deep-neural-network
AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱
CCV7/Automation-of-a-Production-Line
Automating the production of a flexible production line simulator, development of a MES (Manufacturing Execution System) to monitor and manage the production on the plant floor and development of an ERP (Enterprise Resource Planning) module to receive orders from clients and schedule acquisition orders as well as production orders.
CCV7/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
CCV7/Deep_Reinforcement_Learning_FJSP
CCV7/DFJSP
重调度
CCV7/Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
CCV7/DJSP
DRL for DJSP
CCV7/docplex-examples
These samples demonstrate how to use the DOcplex library to model and solve optimization problems.
CCV7/DQN-fjsp
代码学习使用
CCV7/BitMESClient
it is BitMES Client
CCV7/DRL4DJSP
DRL for solving the dynamic job shop schedule problems with uncertain time
CCV7/ETDQN
Evolutionary Trainer-based Deep Q-Network for Dynamic Flexible Job Shop Scheduling
CCV7/fjsp
cplex for FJSP
CCV7/fjsp-gnnrl
Solving Flexible Job Shop Scheduling by learning to dispatch with Deep Reinforcement Learning
CCV7/FJSP-RL
CCV7/FJSPDRL
The code and data will be published after accepting our paper
CCV7/FJSPT
Result files and instances for Flexible Job-Shop Scheduling Problem with Transportation resources
CCV7/Job_Shop_Scheduling_Benchmark_Environments_and_Instances
A benchmarking repo with various solution methods to various machine scheduling problems
CCV7/MFJSP
This is a rep for nsga-iii solve many objective flexible job shop schedule problem
CCV7/pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
CCV7/python-lekin
python-lekin: Flexible supply chain planning and scheduler in Python
CCV7/RL-HH
强化学习超启发式算法求解 FJSP 问题个人毕设
CCV7/RL-JSP
Deep Reinforcement Learning Based on Graph Neural Networks for Job-shop Scheduling
CCV7/RL_for_dynamic_scheduling
Implementation of the paper "A Reinforcement Learning Based Strategy for Dynamic Scheduling on Heterogeneous Platforms".
CCV7/RL_scheduling_system
A user interface for scheduling job shops is being developed as part of this project and implementation of reinforcement learning for automating a dynamic flexible job shop scheduling system.
CCV7/Scheduling-Source-Codes
Scheduling-Source-Codes An Open-Source Simulation Model for Solving Scheduling Problems, Universal Journal of Applied Mathematics
CCV7/simple2fjsp
A very simple deep reinforcement learning methods for flexible job shop scheduling problems
CCV7/simple2transformer
A deep reinforcement learning method based on transformer for flexible job shop scheduling problems
CCV7/Summer_RA
Summer research assistant project (ERL for FJSP)