chupeng24 Goto Github PK

a-new-convolutional-neural-network-based-data-driven-fault-diagnosis-method

TensorFlow implementation of a CNN based mechanical science paper

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

annotated_deep_learning_paper_implementations

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

aps

APS(Advanced Planning and Scheduling/Production Planning)C#

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-evolutionary-reinforcement-learning

Research Papers and Code Repository on the Integration of Evolutionary Algorithms and Reinforcement Learning

awesome-graph-transformer

Papers about graph transformers.

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

best-websites-a-programmer-should-visit-zh

程序员应该访问的最佳网站中文版

cnn-for-bearing-fault-diagnosis

CNN applied to bearing signals for analysis

cs231n-assignment-solution

This is the cs231n assignment solution

cwru

deep-marl-for-dynamic-jsp

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

deep-q-learning-dqn-for-job-shop

This is the python code of deep q learning method for job shop problem with keras.

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

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

DRL on JSSPs

deeprl

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

deeprl-for-job-shop-problem

Use reinforcement learning to solve jssp problems, using ZLP data sets

deeprl-tutorials

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

dive-into-dl-tensorflow2.0

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

dqn-agv-dispatching

drl-simpy-jobshop

An integration of deep reinforcement learning and discrete-event simulation for 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》

elegantrl

Lightweight and scalable deep reinforcement learning using PyTorch. 🔥

erl-pytorch

Combining Evolutionary Algorithms and deep Reinforcement Learning

estorch

Evolution Strategy Library

fjsp-drl

fjsp-drl-mo

The code will be available after our paper is accepted.

fjsp-instances

Flexible Job Shop Instances