ydq56361212

ydq56361212's Stars

• binary-husky/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。

  Language:Python66.6k2811.7k8.2k

• kaixindelele/ChatPaper

  Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

  Language:Python18.6k952181.9k

• omnetpp/omnetpp

  OMNeT++ Discrete Event Simulator

  Language:C614281k154

• Avnu/OpenAvnu

  OpenAvnu - an Avnu sponsored repository for Time Sensitive Network (TSN and AVB) technology

  Language:C477111504294

• Lei-Kun/End-to-end-DRL-for-FJSP

  This is the official code of the publised paper 'A Multi-action Deep Reinforcement Learning Framework for Flexible Job-shop Scheduling Problem'

  Language:Python26531959

• prosysscience/RL-Job-Shop-Scheduling

  Reinforcement learning approach for job shop scheduling

  Language:Python23653974

• wurmen/Flow-Shop-Scheduling-Based-On-Reinforcement-Learning-Algorithm

  Operations Research Application Project - Flow Shop Scheduling Based On Reinforcement Learning Algorithm

  Language:Python993339

• ACassimiro/TSNsched

  Automated Schedule Generation for Time-Sensitive Networks (TSN).

  Language:Java9263339

• dmksjfl/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.

  Language:Python922225

• RK0731/Deep-reinforcement-learning-for-dynamic-scheduling-of-a-flexible-job-shop

  IJPR paper: Deep Reinforcement Learning for dynamic scheduling of a flexible job shop

  Language:Python641311

• aelgabli/AoI_RL

  Reinforcement learning based scheduling algorithm for optimizing AoI in URLLC networks

  Language:DIGITAL Command Language493121

• MISTCARRYYOU/MASA-QMIX

  Codes for paper of 'Solving job scheduling problems in a resource preemption environment with multi-agent reinforcement learning'

  Language:Python36218

• lasseufpa/ITU-Challenge-ML5G-PHY-RL

  Scripts for the "ITU-ML5G-PS-006: ML5G-PHY-Reinforcement learning: scheduling and resource allocation"

  Language:Python297112