Chupeng24

awesome-chatgpt-prompts-zh

ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。

awesome-graph-transformer

Papers about graph transformers.

DRL_to_DFJSP

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

fjsp-drl

FJSPDRL

The code and data will be published after accepting our paper

FlexibleJobShopDynamicScheduling

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

AI-blog

Accompanying repository for Let's make a DQN / A3C series.

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

DeepRL

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

DRL-SimPy-JobShop

An integration of deep reinforcement learning and discrete-event simulation for job shop scheduling problem.

ElegantRL

Lightweight and scalable deep reinforcement learning using PyTorch. 🔥

FlexibleJobShopScheduling

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

GA_for_HFSP

HFSP: Hybrid Flow Shop Scheduling Problem

git-demo

gnn_jssp

Master's Thesis - Graph Neural Networks for Compact Representation for Job Shop Scheduling Problems: A Comparative Benchmark

Gymjsp

Share a benchmark that can easily apply reinforcement learning in Job-shop-scheduling

Hands-on-RL

https://hrl.boyuai.com/

jenetics

Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization

metaheuristics

Implement the-state-of-the-art meta-heuristic algorithms using python (numpy)

ML-DAM

MOEA-D-and-NSGA--for-FJSP

this repo has use MOEA/D and NSGA-Ⅱ to solve multi-objective FJSP problem

NSGAII-and-MOEA-D

nsga2 and MOEA/D

pcbDefectDetectionYOLO

PCB defect detection using YOLOv3, on DeepPCB dataset.

pytorch_geometric

Graph Neural Network Library for PyTorch

ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

scikit-opt

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

ShopSchedule

Shop scheduling problem includes job shop, flexible job shop, flow shop and hybrid flow shop.

SimRLFab

Simulation and reinforcement learning framework for production planning and control of complex job shop manufacturing systems

TSP_DRL_PtrNet

"Neural Combinatorial Optimization with Reinforcement Learning"[Bello+, 2016], Traveling Salesman Problem solver

Variable-Neighborhood-Search

VNS Algorithm