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2022.0048

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

attention-learn-to-route

Attention based model for learning to solve different routing problems

awesome-ml4co

Awesome machine learning for combinatorial optimization papers.

cvrp-decomposition

Decomposition Strategies for Vehicle Routing Heuristics

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。

deep-marl-for-dynamic-jsp

COR paper: A Deep Multi-Agent Reinforcement Learning Approach to Solve Dynamic Job Shop Scheduling Problem

deep-reinforcement-learning-for-dynamic-scheduling-of-a-flexible-job-shop

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

deep-reinforcement-learning-for-solving-job-shop-scheduling-problems

DRL on JSSPs

dispatching-rules-for-fjsp

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

drl-and-graph-neural-network-for-routing-problems

This is the official code for the published paper 'Solve routing problems with a residual edge-graph attention neural network'

drl4vrp

为原始的pytorch-drl4vrp代码添加注释和bug修复

drl_for_dynamic_fjssp

Deep reinforcement learning for dynamic flexible job-shop scheduling problem

drl_to_dfjsp

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

easy-rl

强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/

fjsp-benchmarks

The public benchmark instances of flexible job shop scheduling problem

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。

graph-pointer-network

hands-on-rl

https://hrl.boyuai.com/

hcvrp_drl

This repo implements our paper, "Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem"

ieee-icce-rl-jsp

Deep Reinforcement Learning Based on Graph Neural Networks for Job-shop Scheduling

inputtip

一个小工具，根据当前输入法中英文状态切换光标样式。A small tool to switch the cursor style according to the current state of the input method in English and Chinese.

l2d

Official implementation of paper "Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning"

leedl-tutorial

《李宏毅深度学习教程》，PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

lhy_machine_learning

李宏毅2021/2022/2023春季机器学习课程课件及作业

mdp-dp-rl

Markov Decision Processes, Dynamic Programming and Reinforcement Learning

ml2022-spring

**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring

msppy

neural-combinatorial-optimization-rl

neural-combinatorial-rl-pytorch

PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940