Collection of slides, repositories, papers about AIOps

java高薪训练营2020.04.20

Dr. Elephant is a job and flow-level performance monitoring and tuning tool for Apache Hadoop and Apache Spark

后端架构师技术图谱

List of tools & datasets for anomaly detection on time-series data.

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…

SR-CNN

Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Ne…

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

Spark On Angel, arming Spark with a powerful Parameter Server, which enable Spark to train very big models

A log analysis toolkit for automated anomaly detection [ISSRE'16]

Probabilistic Risk Analysis Tool (fault tree analysis, event tree analysis, etc.)

Code, exercises, answers, and hints to go along with the book "Functional Programming in Scala"

生产环境的海量数据计算产品，文档地址：

CTR prediction model based on spark(LR, GBDT, DNN)

Code to accompany Advanced Analytics with Spark from O'Reilly Media

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

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

Anomaly detection related books, papers, videos, and toolboxes

scala、spark使用过程中，各种测试用例以及相关资料整理

Implementation of DeepStack

Simple and ready-to-use tutorials for TensorFlow

Data competition Top Solution 数据竞赛top解决方案开源整理

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

Pyramid brings R's beloved auto.arima to Python, making an even stronger case for why you don't need R for data science.

Learn Deep Reinforcement Learning in Depth in 60 days

100 Days of ML Coding

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,…