Pinned Repositories
5G-planning-using-a-GA
An implementation of a genetic algorithm to solve the planning problem present in 5G cellular networks
5Gdataset
In this work, we present a 5G trace dataset collected from a major Irish mobile operator. The dataset is generated from two mobility patterns (static and car), and across two application patterns(video streaming and file download). The dataset is composed of client-side cellular key performance indicators (KPIs) comprised of channel-related metrics, context-related metrics, cell-related metrics and throughput information. These metrics are generated from a well-known non-rooted Android network monitoring application, G-NetTrack Pro. To the best of our knowledge, this is the first publicly available dataset that contains throughput, channel and context information for 5G networks. To supplement our real-time 5G production network dataset, we also provide a 5G large scale multi-cell ns-3 simulation framework. The availability of the 5G/mmwave module for the ns-3 mmwave network simulator provides an opportunity to improve our understanding of the dynamic reasoning for adaptive clients in 5G multi-cell wireless scenarios. The purpose of our framework is to provide additional information (such as competing metrics for users connected to the same cell), thus providing otherwise unavailable information about the basestation (eNodeB or eNB) environment and scheduling principle, to end user. Our framework permits other researchers to investigate this interaction through the generation of their own synthetic datasets.
607saliency
abstreet
A traffic simulation game exploring how small changes to roads affect cyclists, transit users, pedestrians, and drivers.
Acer-TravelMate-P236-m
Acer TravelMate P236-m 黑苹果配置
adanet
Fast and flexible AutoML with learning guarantees.
AI-City-Anomaly-Detection
Source code and code description of Team12 for NVIDIA AICity Challenge 2019 track 3
Algorithms
常用算法的 C++ 实现
ebnn
FogServicePlacement-ILPvsCN
These are the implementations of two service placement algorithms for fog computing in python 2.7. One is an ILP-based algorithm and the second one is based on the use of complex networks and graph partitions.
bupt-renpei's Repositories
bupt-renpei/5Gdataset
In this work, we present a 5G trace dataset collected from a major Irish mobile operator. The dataset is generated from two mobility patterns (static and car), and across two application patterns(video streaming and file download). The dataset is composed of client-side cellular key performance indicators (KPIs) comprised of channel-related metrics, context-related metrics, cell-related metrics and throughput information. These metrics are generated from a well-known non-rooted Android network monitoring application, G-NetTrack Pro. To the best of our knowledge, this is the first publicly available dataset that contains throughput, channel and context information for 5G networks. To supplement our real-time 5G production network dataset, we also provide a 5G large scale multi-cell ns-3 simulation framework. The availability of the 5G/mmwave module for the ns-3 mmwave network simulator provides an opportunity to improve our understanding of the dynamic reasoning for adaptive clients in 5G multi-cell wireless scenarios. The purpose of our framework is to provide additional information (such as competing metrics for users connected to the same cell), thus providing otherwise unavailable information about the basestation (eNodeB or eNB) environment and scheduling principle, to end user. Our framework permits other researchers to investigate this interaction through the generation of their own synthetic datasets.
bupt-renpei/607saliency
bupt-renpei/abstreet
A traffic simulation game exploring how small changes to roads affect cyclists, transit users, pedestrians, and drivers.
bupt-renpei/ar-cutpaste
Cut and paste your surroundings using AR
bupt-renpei/Awesome-CVPR-Paper
CVPR 论文收集，包含但不限于2020、2019、2018、2017文章
bupt-renpei/Awesome-Pruning
A curated list of neural network pruning resources.
bupt-renpei/bolt
Bolt is a deep learning library with high performance and heterogeneous flexibility.
bupt-renpei/browser-2020
Things you can do with a browser in 2020 ☕️
bupt-renpei/cloudsim
CloudSim: A Framework For Modeling And Simulation Of Cloud Computing Infrastructures And Services
bupt-renpei/collaborative-intelligence
bupt-renpei/Community-Network-Interactive-Planner
A Cloud Based Radio Network Planning And Design Tool
bupt-renpei/cvpr2020
cvpr2020/cvpr2019／cvpr2018/cvpr2017 papers，极市团队整理
bupt-renpei/dnn-quant-ocs
DNN quantization with outlier channel splitting
bupt-renpei/eat_pytorch_in_20_days
Pytorch🍊🍉 is delicious, just eat it! 😋😋
bupt-renpei/EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
bupt-renpei/fastprogress
Simple and flexible progress bar for Jupyter Notebook and console
bupt-renpei/image-matching-benchmark
Public release of the Image Matching Benchmark: https://vision.uvic.ca/image-matching-challenge
bupt-renpei/mcs-mobility-trace
We conducted a real-world mobile crowdsensing campaign on our university campus (Purdue) over one month (Feb 7 - Mar 7, 2018) with 50 users to evaluate CROWDBIND (our EWSN 20 paper) plus 4 competing solutions. The students went about their daily routine with their smartphones running the five different software packages, collecting sensor data (pressure). This is the anonymized mobility trace of these 50 students over a 100 sq. km. area.
bupt-renpei/MMdnn
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
bupt-renpei/Net2Plan
Net2Plan is a free and open-source Java tool devoted to the planning, optimization and evaluation of communication networks. It has been originally thought as a tool to assist the teaching of communication networks courses. Eventually it has converted into a powerful network optimization and planning tool for the academia and industry, together with a growing repository of network planning resources.
bupt-renpei/onnx-tensorflow
Tensorflow Backend for ONNX
bupt-renpei/Phoom
Phoom 3D VR AR Conferencing App
bupt-renpei/pyslam
pySLAM contains a monocular Visual Odometry (VO) pipeline in Python. It supports many modern local features based on Deep Learning.
bupt-renpei/pytorch-lightning
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
bupt-renpei/pytorch-playground
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
bupt-renpei/SciencePlots
Matplotlib styles for scientific plotting
bupt-renpei/torchprof
PyTorch layer-by-layer model profiler
bupt-renpei/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
bupt-renpei/U-2-Net
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
bupt-renpei/V-REP-YouBot-Demo
YouBot Control demos on V-REP platform.