Node-level autoscaler for Kubernetes clusters created with acs-engine.

A collection of my book notes on various subjects, mainly computer science

TensorFlow Tutorial and Examples for Beginners with Latest APIs

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

A next-generation curated knowledge sharing platform for data scientists and other technical professions.

Anomaly detection related books, papers, videos and toolboxes

United States General Election Presidential Results by County from 2008 to 2016

Visualizer for deep learning and machine learning models

Various Dockerfiles I use on the desktop and on servers.

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

Differentiable architecture search for convolutional and recurrent networks

ML-Ensemble – high performance ensemble learning

all kinds of text classificaiton models and more with deep learning

A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

Papers on Computational Advertising

Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!

Introduction to Deep Neural Networks with Keras and Tensorflow

Collection of less popular features and tricks for the Python programming language

Data Analysis Using Python

Cracking the Coding Interview 6th Ed. Python Solutions

Simplified implementations of deep learning related works

IEEE's Signal Processing Society - Camera Model Identification Kaggle Competition

Utilities and scripts developed as part of Microsoft's Team Data Science Process for productive data science