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This is a repo with links to everything you'd ever want to learn about data engineering
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Natural Language Processing Tutorial for Deep Learning Researchers
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
Interview = 简历指南 + 算法题 + 八股文 + 源码分析
My blogs and code for machine learning. http://cnblogs.com/pinard
Notes about courses Dive into Deep Learning by Mu Li
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
本项目为量化开源课程，可以帮助人们快速掌握量化金融知识以及使用Python进行量化开发的能力。
cluster data collected from production clusters in Alibaba for cluster management research
机器学习/深度学习/Python/Go语言面试题笔试题(Machine learning Deep Learning Python and Golang Interview Questions)
We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.
Scripts and utility programs for implementing the USAD architecture.
ZhiHuDaShiJie / lihang-code
Forked from fengdu78/lihang-code《统计学习方法》的代码实现
Code and datasets for FSE'22 paper "Actionable and Interpretable Fault Localization for Recurring Failures in Online Service Systems"
Amazon SageMaker Edge Manager Workshop