hgh2017 Goto Github PK
Name: Hgh
Type: User
Company: Beijing Jiaotong University
Bio: Student, Backend engineer, technology stack(Java, Python, Bash, ML)
Location: Beijing
Name: Hgh
Type: User
Company: Beijing Jiaotong University
Bio: Student, Backend engineer, technology stack(Java, Python, Bash, ML)
Location: Beijing
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
Collection of slides, repositories, papers about AIOps
Anomaly detection related books, papers, videos, and toolboxes
AIOps学习资料汇总,欢迎一起补全这个仓库,欢迎star
A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression & Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.
A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.
北邮研究生导师口碑榜
Essential Cheat Sheets for deep learning and machine learning researchers
Checkstyle is a development tool to help programmers write Java code that adheres to a coding standard. By default it supports the Google Java Style Guide and Sun Code Conventions, but is highly configurable. It can be invoked with an ANT task and a command line program.
Java basic practice for beginners.
CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017
Code examples in pyTorch and Tensorflow for CS230
cs231n assignments
Public facing notes page
An Integrated Experimental Platform for time series data anomaly detection.
《Designing Data-Intensive Application》DDIA中文翻译
Deep Learning Book Chinese Translation
Apache Flink
Flink code for TPC-DS competition,forked from Apache Flink,and cherry pick some new feature.
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
to familiar with GitHub
this is the first time for me to use github, so i am excited and this project is about ML that i am learing.
Notebooks and code for the book "Introduction to Machine Learning with Python"
【Java学习+面试指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
1st place solution
KDD CUP 2018
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.