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5g_measurement

Sub-6 band 5G measurement tools and dataset

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.

adaptdl

Resource-adaptive cluster scheduler for deep learning training.

algorithm

all the algorithms from MOOC given by lecture Guo Wei from Pecking University

ar_video_operation

argo-workflow

simple argo workflow examples

awesome-dl-scheduling-papers

awesome-federated-learning

resources about federated learning and privacy in machine learning

aws-lambda-power-tuning

AWS Lambda Power Tuning is an open-source tool that can help you visualize and fine-tune the memory/power configuration of Lambda functions. It runs in your own AWS account - powered by AWS Step Functions - and it supports three optimization strategies: cost, speed, and balanced.

azurepublicdataset

Microsoft Azure Traces

bert

TensorFlow code and pre-trained models for BERT

car-recognition

Car Recognition with Deep Learning

clash-for-linux

Linux 端使用 Clash 作为代理工具

clipper

A low-latency prediction-serving system

cloudsim

cloudsim

clusterdata

cluster data collected from production clusters in Alibaba for cluster management research

cocktail

codl

community

Kubernetes community content

conv-tasnet

Deep Neural Network for Speaker Separation

conv-tasnet-1

A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).

conv-tasnet-2

Tensorflow 2.x (with Keras API) Implementation of the Conv-TasNet (Luo et al., 2019)

cp_demo

cv

important

cv_final-exam

realize the experiments of the cls

cvxopt

CVXOPT -- Python Software for Convex Optimization

datasets

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

deep_learning_object_detection

A paper list of object detection using deep learning.

deepfacelab

DeepFaceLab is the leading software for creating deepfakes.

djinn

Deep Neural Networks (DNNs) as a Service