everdyx's 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。
leedl-tutorial
《李宏毅深度学习教程》，PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
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/
zihao_course
同济子豪兄的公开课
Pointer-Networks
Pointer Networks Implementation to solve Convex-Hull and TSP problems using supervised and RL training.
Hands-on-RL
https://hrl.boyuai.com/
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'
awesome-ml4co
Awesome machine learning for combinatorial optimization papers.
Deep-MARL-for-Dynamic-JSP
COR paper: A Deep Multi-Agent Reinforcement Learning Approach to Solve Dynamic Job Shop Scheduling Problem
pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
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。
Lhy_Machine_Learning
李宏毅2021/2022/2023春季机器学习课程课件及作业
attention-learn-to-route
Attention based model for learning to solve different routing problems
drl4vrp
为原始的pytorch-drl4vrp代码添加注释和bug修复
tuning_playbook_zh_cn
一本系统地教你将深度学习模型的性能最大化的战术手册。
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, ... 🧠
DRL_for_dynamic_FJSSP
Deep reinforcement learning for dynamic flexible job-shop scheduling problem
IEEE-ICCE-RL-JSP
Deep Reinforcement Learning Based on Graph Neural Networks for Job-shop Scheduling
cvrp-decomposition
Decomposition Strategies for Vehicle Routing Heuristics
The-Art-of-Linear-Algebra
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
Deep-reinforcement-learning-for-dynamic-scheduling-of-a-flexible-job-shop
IJPR paper: Deep Reinforcement Learning for dynamic scheduling of a flexible job shop
FJSP-benchmarks
The public benchmark instances of flexible job shop scheduling problem
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'
HCVRP_DRL
This repo implements our paper, "Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem"
ML2022-Spring
**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring
Reinforcement-Learning-VRP
Reinforcement learning using Deep Q-Network for solving the simple Vehicle Routing Problem.
L2D
Official implementation of paper "Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning"
yangxx_ML
This is yangxx's repo for machine learning