qiumiao30
Student of National University of Defense Technology
National University of Defense Technology中国
qiumiao30's Stars
qiumiao30/time-series-anomaly-detection
List of papers & datasets for anomaly detection on multivariate time-series data.
qiumiao30/SLMR
The implement of An Unsupervised Short- and Long-Term Mask Representation for Multivariate Time Series Anomaly Detection
HobbitLong/RepDistiller
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
FLHonker/Awesome-Knowledge-Distillation
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
DAMO-DI-ML/AI-for-Time-Series-Papers-Tutorials-Surveys
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
Alro10/deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
ricardovvargas/3w_dataset
The first realistic and public dataset with rare undesirable real events in oil wells.
fossasia/visdom
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
sseung0703/Knowledge_distillation_via_TF2.0
The codes for recent knowledge distillation algorithms and benchmark results via TF2.0 low-level API
juzstu/ccf2020_didi
cncf/presentations
📊 Presentations from the CNCF community to share and reuse
kubeedge/kubeedge
Kubernetes Native Edge Computing Framework (project under CNCF)
dialnd/imbalanced-algorithms
Python-based implementations of algorithms for learning on imbalanced data.
wyc941012/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)
yangshunzhi1994/CNN-RIS
Making accurate object detection at the edge: review and new approach
wenguanwang/PAGE-Net
Salient Object Detection with Pyramid Attention and Salient Edges (CVPR19)
XinArkh/Industrial_BigData_Competition_2017
2017工业大数据创新竞赛/风机叶片结冰预测大赛
VisionLearningGroup/taskcv-2017-public
poloclub/cnn-explainer
Learning Convolutional Neural Networks with Interactive Visualization.
FangYang970206/homework
store the homeworks in master course
hindupuravinash/the-gan-zoo
A list of all named GANs!
scutan90/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scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
terryum/awesome-deep-learning-papers
The most cited deep learning papers
weiaicunzai/awesome-image-classification
A curated list of deep learning image classification papers and codes
timtian12/YiDong_jizhan
2020**移动创客马拉松大赛AI巡回赛-复杂网络建模专题赛:基站退服告警预测 baseline
epan-utbm/utbm_robocar_dataset
EU Long-term Dataset with Multiple Sensors for Autonomous Driving
shanealynn/ros_csv_extraction
CSV Data Extraction Tool for ROS bag files. ROS (robot operating system) is a software system gaining popularity in robotics for control and automation. This repository provides a tool to extract data to CSV format for a number of ROS message types for analysis in other software.
methylDragon/ros-sensor-fusion-tutorial
An in-depth step-by-step tutorial for implementing sensor fusion with robot_localization! 🛰
iaslab-unipd/sensor_data_collection
ROS node for collecting data from one or more cameras/depth sensors
chxuan/vimplus
:rocket:An automatic configuration program for vim