suleisl2000 Goto Github PK

-mirai-iot-botnet

[Mirai] Mirai Iot Botnet && Tutorial !

apache-guacamole-helm-chart

Apache Guacamole helm chart

app-gluster

Gluster helm chart

apref

APReF: An Automatic Parallelizer of Recursive Functions for Haskell

arachne

Core aware thread management system

autoware

Open-source software for urban autonomous driving.

awesome-ml-for-cybersecurity

:octocat: Machine Learning for Cyber Security

blaze

Blaze runtime system that support efficient accelerator integration for big data.

bolt

Bolt is a deep learning library with high performance and heterogeneous flexibility.

botnet-detection

Botnet detection using deep learning

botnet-detection-deep-learning

botnet-detection-using-machine-learning

Repository of Bachelor's Major Project on Botnet Detection

caiss

跨平台/多语言的 相似向量/相似词/相似句 高性能检索引擎。欢迎star & fork。Build together! Power another !

caravel

Studying GPU Multi-tenancy

cartographer

关于谷歌slam地图库cartographer的源码注释

ccuda

An architecture-aware concurrent kernel execution framework

cikm-cup-2017

CIKM AnalytiCup 2017: Short-Term Precipitation Forecasting Based on Radar Reflectivity Images

clb-quic-demo

clb team contribute

common

Common source, scripts and utilities shared across all Triton repositories.

community

Information about the Kubeflow community including proposals and governance information.

cuda-rdma-bench

NVIDIA GPU direct RDMA using SISCI API

cuda-runtime-interpreter

It's a prototype for an interpreter, which can interpret the host code of a CUDA Program, written with the runtime API.

cuda-samples

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

deep-learning-for-anomaly-detection-a-survey

This paper is continuously updated with deep anomaly detection methods and their applications

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

docker-beegfs

BeeGFS services on Docker

docker-centos7-slurm

Slurm Docker Container on CentOS 7

edge-intelligence

随着移动云计算和边缘计算的快速发展，以及人工智能的广泛应用，产生了边缘智能(Edge Intelligence)的概念。深度神经网络(例如CNN)已被广泛应用于移动智能应用程序中，但是移动设备有限的存储和计算资源无法满足深度神经网络计算的需求。神经网络压缩与加速技术可以加速神经网络的计算，例如剪枝、量化、卷积核分解等。但是这些技术在实际应用非常复杂，并且可能导致模型精度的下降。在移动云计算或边缘计算中，任务卸载技术可以突破移动终端的资源限制，减轻移动设备的计算负载并提高任务处理效率。通过任务卸载技术优化深度神经网络成为边缘智能研究中的新方向。Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge这篇文章提出了协同推断的**，将深度神经网络进行分区，一部分层在移动端计算，而另一部分在云端计算。根据硬件平台、无线网络以及服务器负载等因素实现动态分区，降低时延以及能耗。本项目给出了边缘智能方面的相关论文，并且给出了一个Python语言实现的卷积神经网络协同推断实验平台。关键词：边缘智能(Edge Intelligence)，计算卸载(Computing Offloading)，CNN模型分区(CNN Partition)，协同推断(Collaborative Inference)，移动云计算(Mobile Cloud Computing)

enas

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

f-anogan

Code for reproducing f-AnoGAN training and anomaly scoring