Will-77's starred repositories
gpt_academic
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。
awesome-ml4co
Awesome machine learning for combinatorial optimization papers.
SkipList_CPP
C++ FOR SkipList
Evolutionary-Reinforcement-Learning
Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" published at NeurIPS 2018
model-based-RL
A job shop scheduling problem using model-based reinforcement learning and using Neural Logic Rule Layer.
awesome-rl
Reinforcement learning resources curated
machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
TSP_DRL_PtrNet
"Neural Combinatorial Optimization with Reinforcement Learning"[Bello+, 2016], Traveling Salesman Problem solver
PtrNet_TSP_Solver
PointerNet for TSP
Branch_and_Price_PMSPSDEC
A branch and price algorithm to solve a parallel machine scheduling problem
DRL-Scheduling-tf
Codes implementation of the paper "Deep reinforcement learning for minimizing tardiness in parallel machine scheduling with sequence dependent family setups"
CG_parallel-machine-sched
This repo aim is to reproduce a column generation approach based on "Parallel machine scheduling by column generation" paper
ptr-net-pmsp
Applying Pointer Networks Architecture to the problem of PMSP ( Parallel Machines Scheduling Problem )
parallel_machine_scheduling
This repository is to solve parallel machine scheduling problems with release constraints
Genetic-Algorithm-for-Job-Shop-Scheduling-and-NSGA-II
Learning how to implement GA and NSGA-II for job shop scheduling problem in python
Flow-Shop-Scheduling-Based-On-Reinforcement-Learning-Algorithm
Operations Research Application Project - Flow Shop Scheduling Based On Reinforcement Learning Algorithm
End2End-Job-Shop-Scheduling-CP
An end to end reinforcement learning approach with a reinforcement learning environment modeled as a CP model
Job_Shop_Scheduling_Problem_with_Reinforcement_Learning
This is the implemention of JSSP with RL. The framework used for RL is actor critic and the dataset comes from Tianchi competition.
job-shop-scheduling
OR-Tools vs. CP Optimizer vs. CPLEX for Blocking Job Shop / Simple Job Shop Scheduling Problems
RL-Job-Shop-Scheduling
Reinforcement learning approach for job shop scheduling
DQN-DDQN-Dueling_networ-D3QN-_for_JSP
pytorch implementation of DQN/DDQN/Dueling_networ/D3QN for job shop scheudling problem
JopShop_RL
Apply DQN to OR-Library ft-06 problem, which gets makespan 58.
EmbeddedSoftwareEngineerInterview
嵌入式软件工程师笔试面试指南，主要收录笔试面试八股文。包括C/C++，计算机基础，操作系统，Linux驱动，Arm体系与架构，网络编程，大厂笔试面试题等。持续更新中~~有问题可以加我微信，LinuxDriverDev
np-hard-deep-reinforcement-learning
pytorch neural combinatorial optimization