caohy1988 Goto Github PK
Name: Hai-Yuan Cao
Type: User
Company: MIcrosoft
Bio: Machien Learning
Location: Redmond, WA
Hai-Yuan Cao's Projects
reinforcement-learning
Minimal and Clean Reinforcement Learning Examples
resumeparser
A script to parse PDF resumes, extract contact information, and check for required terms
reverse-geocoder
A fast, offline reverse geocoder in Python
rosetta
Tools, wrappers, etc... for data science with a concentration on text processing
scala
The Scala programming language
scala-bootstrapper
initial setup for a scala library or server, using sbt
scala-machine-learning
Source code, data files and utilities related to "Scala for Machine Learning"
scala_school
Lessons in the Fundamentals of Scala
scala_school2
Scala School 2
scalacheck
Property-based testing for Scala
scalaml
Source code, data files and utilities related to "Scala for Machine Learning"
scalding-tutorial
The Scalding tutorial as a standalone SBT project
scikit-learn-contrib
scikit-learn compatible projects
scikit-rvm
Relevance Vector Machine implementation using the scikit-learn API.
scipy-2016-sklearn
Scikit-learn tutorial at SciPy2016
scipy-lecture-notes
Tutorial material on the scientific Python ecosystem
scipy_2015_sklearn_tutorial
Scikit-Learn tutorial material for Scipy 2015
scrapy
Scrapy, a fast high-level web crawling & scraping framework for Python.
shiny
Easy interactive web applications with R
skflow
Simplified interface for TensorFlow (mimicking Scikit Learn)
sklearn-pandas
Pandas integration with sklearn
sklearn_tutorial
Materials for my scikit-learn tutorial
sonnet
TensorFlow-based neural network library
spark
Mirror of Apache Spark
spark-movie-lens
An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset
spark-py-notebooks
Spark & Python (pySpark) tutorials as IPython/Jupyter notebooks
spark-timeseries
A library for financial and time series calculations on Apache Spark
spark-training
Spark training material
spearmint
Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012
spf13-vim
The ultimate vim distribution
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