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Type: User
Bio: 数据安全从业者。
Type: User
Bio: 数据安全从业者。
《Web安全之机器学习入门》
Materials for UC Berkeley School of Information course Applied Machine Learning
A collection of popular anomaly detection methods (iid/point-based 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 results-plots and illustrations for most approaches covered.
自身学习的安全数据科学和算法的学习资料
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
Anomaly detection related books, papers, videos, and toolboxes
Anomaly Detection with R
A collection of algorithms for anomaly detection
A Python library for anomaly detection
Applied Python Machine Learning Book
关系型数据库水印软件
beamer template collection
A curated list of awesome Machine Learning frameworks, libraries and software.
:octocat: Machine Learning for Cyber Security
List of tools & datasets for anomaly detection on time-series data.
Methods to get the probability of a changepoint in a time series.
北京浮生记PC版源代码
A background subtraction library
Notes on Scientific Computing for Biomechanics and Motor Control
Using Bag-of-Features to classify EEG time-series data
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
This is the official code for my NIPS 2017 paper on change point detection using Deep Wavelet Networks.
This work is the completed version of my workshop paper at NIPS TWS 2017. I have submitted this work to NIPS 2018 conference.
Change point detection by using density ratio estimation
Source repository for OSDC-PIRE 2014 project on change-point detection
CloudMoe Windows 10/11 Activation Toolkit get digital license, the best open source Win 10/11 activator in GitHub. GitHub 上最棒的开源 Win10/Win11 数字权利(数字许可证)激活工具!
Search over projects from Github, Bitbucket, Google Code, Codeplex, Sourceforge, Fedora Project, GitLab to find real-world usage variable names
Outlier detection for categorical data
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.