Pinned Repositories
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
ad_examples
A collection of popular anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, description for diversity/explanation/interpretability. With a deeper analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
AdaptiveRandomForest
Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04
dan
disk_failure_prediction
hadoop
Mirror of Apache Hadoop
shujiehan.github.io
My personal website
ssdanalysis
Source code of FAST'21 paper, "An In-Depth Study of Correlated Failures in Production SSD-Based Data Centers".
StreamDFP
StreamDFP, a general stream mining framework for disk failure prediction with concept-drift adaptation.
transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
shujiehan's Repositories
shujiehan/ssdanalysis
Source code of FAST'21 paper, "An In-Depth Study of Correlated Failures in Production SSD-Based Data Centers".
shujiehan/StreamDFP
StreamDFP, a general stream mining framework for disk failure prediction with concept-drift adaptation.
shujiehan/shujiehan.github.io
My personal website
shujiehan/transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
shujiehan/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
shujiehan/ad_examples
A collection of popular anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, description for diversity/explanation/interpretability. With a deeper analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
shujiehan/AdaptiveRandomForest
Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04
shujiehan/dan
shujiehan/disk_failure_prediction
shujiehan/hadoop
Mirror of Apache Hadoop
shujiehan/joinery
Data frames for Java
shujiehan/LightGBM
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
shujiehan/moa
MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
shujiehan/online-random-forests
Online Random Forests
shujiehan/SimEDC
Source code of SimEDC
shujiehan/Spiking-Neural-Network
Pure python implementation of SNN