Zero Shot Detection Dataset

pytorch code for recurring paper：Zero-Shot Detection【https://arxiv.org/abs/1803.07113】

A dataset of foreign object debris (FOD) designed for computer vision applications.

Multi-Objective Approach for Energy-Aware Workflow Scheduling Using an Effective Algorithm in Cloud Computing Environment.

北京化工大学本科毕业设计《基于深度强化学习的云工作流调度》

Attention based model for learning to solve different routing problems

PyTorch implementation of Transformer model used in "Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case"

Code for "Transformer Networks for Trajectory Forecasting"

Course project of SJTU EE357: Computer Network, advised by Prof. Na Ruan. We implemented and improved "A Hierarchical Framework of Cloud Resource Allocation and Power Management using Deep Reinforc…

📉 Alibaba cluster analysis

Project: Deep Reinforcement Learning Based Resource Provisioning and Task Scheduling for Cloud Service Providers

Deep Q Network model for two stage resource provisioning and task scheduling for Cloud computing

Project: Deep Reinforcement Learning Based Resource Provisioning and Task Scheduling for Cloud Service Providers

CloudSimPy: Datacenter job scheduling simulation framework

Implementation in python

Here lives the code for the energy aware cloud consolidation tool

CLUES: an energy management system for HPC Clusters and Cloud infrastructures.

DCSim: A Data Centre Simulation Tool for Evaluating Dynamic Virtualized Resource Management

Simple cloud simulator in python. Developed locally and published for future use.

just another Cloud Architecture simulator in Python for Scheduling High Availability services with VM Consolidation+

Scripts used to aid running different types of simulations of workload scheduling algorithms using GreenCloud simulator. Project is part of Summer research project under Dr. Xunfei Jiang funded by …

Load balancing by shards allocation based on load prediction.

A cloud process simulator, using MDP