lbwnb32's Stars
imperial-qore/COSCO
[TPDS'21] COSCO: Container Orchestration using Co-Simulation and Gradient Based Optimization for Fog Computing Environments
Yu-Maryland/RESPECT
RESPECT: Reinforcement Learning based Edge Scheduling on Pipelined Coral Edge TPUs (DAC'23)
OpsPAI/awesome-AIOps
A curated list of awesome academic researches and industrial materials about Artificial Intelligence for IT Operations (AIOps).
98k-bot/GAN-Assisted-Preference-Based-Learning
A paper under AAAI-20 review
ben-eysenbach/mnm
Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"
louaaron/GAN-Q-Learning
Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874
xinshi-chen/GenerativeAdversarialUserModel
Tensorflow implementation for "Generative Adversarial User Model forReinforcement Learning Based Recommendation System"
rushhan/Generative-Adversarial-User-Model-for-Reinforcement-Learning-Based-Recommendation-System-Pytorch
zergtant/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
GraphNAS/GraphNAS
This directory contains code necessary to run the GraphNAS algorithm.
FC-Li/CloudSimPy
CloudSimPy: Datacenter job scheduling simulation framework
pprp/SimpleCVPaperReading
:smile:博客论文列表:分系列整理
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'
jolibrain/wheatley
Next-generation scheduling problem solver based on GNNs and Reinforcement Learning
wisherg/python_data_course
python pandas pyecharts streamlit echarts
zhongyuanzhao/distgcn
Link Scheduling using Graph Neural Networks, IEEE TWC
sjtu-marl/malib
A parallel framework for population-based multi-agent reinforcement learning.
rhoowd/sched_net
pengguo318/MaDRLAM
Multi-Agent Deep Reinforcement Learning for Task Offloading in GDMSs
Jacklinkk/Graph_CAVs
The source code for our paper: Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges. This code is developed based on our previous repository TorchGRL.
neunms/Reinforcement-learning-on-graphs-A-survey
This collection of papers can be used to summarize research about graph reinforcement learning for the convenience of researchers.
AccumulateMore/CV
✔(已完结)最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】
IBM/tensorflow-kubernetes-art-classification
Train a TensorFlow model on Kubernetes to recognize art culture based on the collection from the Metropolitan Museum of Art
Juntongkuki/DSFNet
marrlab/InstantDL
InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification
ertis-research/kafka-ml
Kafka-ML: connecting the data stream with ML/AI frameworks (now TensorFlow and PyTorch!)
YuemingJin/TMRNet
[TMI'2021] Temporal Memory Relation Network for Workflow Recognition from Surgical Video
mhaut/cloud-dnn-HSI
Cloud Deep Networks for Hyperspectral Image Analysis
Vooban/Smoothly-Blend-Image-Patches
Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.
sum1lim/sea_ice_remote_sensing
Deep Learning models for Sea Ice Concentration classification generated from the architectures of Neural Network, 1D-CNN and concatenation of the two.