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Type: User
Bio: Apply Machine Learning、Big Data、 AIOps in APM、NPM、 ITOM
Type: User
Bio: Apply Machine Learning、Big Data、 AIOps in APM、NPM、 ITOM
100 Days of ML Coding
Learn Deep Reinforcement Learning in Depth in 60 days
Code to accompany Advanced Analytics with Spark from O'Reilly Media
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.
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
Collection of slides, repositories, papers about AIOps
The fundamental package for AIops with python.
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
A pure python implementation of DeepMind's AlphaGo program.
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
Anomaly detection related books, papers, videos, and toolboxes
SR-CNN
后端架构师技术图谱
Lightweight, Portable RTOS Scheduler
AIOps学习资料汇总,欢迎一起补全这个仓库,欢迎star
This list collects learning resource, tools and dataset for time series analysis or time series data mining. Time series analysis is widely used in many fileds, such as stock prediction, datacenter operation and so on.
List of tools & datasets for anomaly detection on time-series data.
A sample on how to inject a DLL from a kernel driver
博睿文件系统
An open source Q&A(question and answer) eco-system
Spark implementation of the Google Correlate algorithm to quickly find highly correlated vectors in huge datasets
coursera吴恩达机器学习课程作业自写Python版本+MATLAB原版
NO.1
CTR prediction model based on spark(LR, GBDT, DNN)
An Integrated Experimental Platform for time series data anomaly detection.
Data competition Top Solution 数据竞赛top解决方案开源整理
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Implementation of DeepStack
Introduction to Python and Django
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.