VUZhuangweiKang

AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

DeepBench

Benchmarking Deep Learning operations on different hardware

clusterdata

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

netron

Visualizer for neural network, deep learning and machine learning models

model-analysis

Model analysis tools for TensorFlow

flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

torchstat

Model analyzer in PyTorch

pytorch-estimate-flops

Estimate/count FLOPS for a given neural network using pytorch

fvcore

Collection of common code that's shared among different research projects in FAIR computer vision team.

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

kubeml

Simple Serverless Platform for training Neural Networks in a distributed manner on Kubernetes

yelp_da

NLP Sentiment Analysis with Yelp Review Data Set

DDoS-Detection

Training ML Models to detect a DDoS attack.

KPI-Anomaly-Detection

2018AIOps: The 1st match for AIOps

pigz-bench

Test of parallel compression acceleration for Unix (MacOS and Linux)

open-images-dataset

Open Images is a dataset of ~9 million images that have been annotated with image-level labels and bounding boxes spanning thousands of classes.

OpenNMT-py

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

OPUS-MT-train

Training open neural machine translation models

CTranslate2

Fast inference engine for Transformer models

deepspeech.pytorch

Speech Recognition using DeepSpeech2.

pocket

Elastic ephemeral storage

DELI

Optimizing loading training data from cloud bucket storage for cloud-based distributed deep learning. Official repository for Quantifying and Improving Performance of Distributed Deep Learning with Cloud Storage, to be published in IC2E 2021

k8s-rdma-shared-dev-plugin

gojenkins

Jenkins API Client in Go. Looking for maintainers to move this project forward.

kubernetes-operator

Kubernetes native Jenkins Operator

hazelcast

Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.

TranAD

[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.

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.

DeepSlice

DeepSlice: A Deep Learning Approach towards an Efficient and Reliable Network Slicing in 5G Networks

docker_open5gs

Docker files to run open5gs + IMS + eNB + gNB + NR-UE in a docker