Interview = 简历指南 + LeetCode + Kaggle

Implementation of various generative models

A collection of tutorials, demos, and use cases for IBM Data Science Experience http://datascience.ibm.com/

How to do data science with Optimus, Spark and Python.

Time Series Anomaly Detection Toolkit

Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"

Compilado de cursos y material de capacitación en herramientas de IA y DataScience.

When performing data science tasks, it's common to want to use data found on the internet. You'll usually be able to access this data in csv format, or via an Application Programming Interface (API). However, there are times when the data you want can only be accessed as part of a web page. In cases like this, you'll want to use a technique called web scraping to get the data from the web page into a format you can work with in your analysis.

Repository for the ICON 2017 hackathon 'multivoxel pattern analysis (MVPA) of fMRI data in Python'

Repository containing a dataSet and a python notebook to perform data analysis about workouts. The data was gathered from Health Graph API - Runkeeper

QuAI is QNAP’s AI Developer Package, for data scientists and developers, to quickly build, train, optimize and deploy machine learning models, on top of QNAP NAS.

Create HTML profiling reports from pandas DataFrame objects

Apache Spark - Turbofan Engine Degradation Simulation Data Set example in Apache Spark

tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials

Talk at scipy 2018: Interactive 3d Visualization in Jupyter

My kaggle competition solution and notebook

支付宝 AR 红包 破解教程

Presentation and code from Cryptocurrency Technical Trading strategy meeting. Dec 7th 2017