Jen Kettlewell (JennKett)

JennKett

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Location:Austin, TX

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Jen Kettlewell's starred repositories

Tiger

C++ Matrix -- High performance and accurate (e.g. edge cases) matrix math library with expression template arithmetic operators

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modern-cpp-features

A cheatsheet of modern C++ language and library features.

License:MITStargazers:19256Issues:0Issues:0

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

Language:Jupyter NotebookLicense:MITStargazers:7106Issues:0Issues:0

DataSciencePython

common data analysis and machine learning tasks using python

Language:PythonLicense:MITStargazers:5177Issues:0Issues:0

systemds

An open source ML system for the end-to-end data science lifecycle

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gnofract4d

A fractal generation program for linux

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keystone

Simplifying robust end-to-end machine learning on Apache Spark.

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twofishes

MOVED - The project is still under development but this page is deprecated.

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lila

♞ lichess.org: the forever free, adless and open source chess server ♞

Language:ScalaLicense:AGPL-3.0Stargazers:14888Issues:0Issues:0

realtime-search

Demonstration using Play!, Akka, AngularJS and Elasticsearch to perform real-time log entry search

Language:ScalaLicense:NOASSERTIONStargazers:88Issues:0Issues:0

MachineLearning

Literature Study

Language:ScalaStargazers:165Issues:0Issues:0

correlation-approximation

Spark implementation of the Google Correlate algorithm to quickly find highly correlated vectors in huge datasets

Language:ScalaLicense:Apache-2.0Stargazers:91Issues:0Issues:0

52-technologies-in-2016

Let's learn a new technology every week. A new technology blog every Sunday in 2016.

Language:JavaScriptLicense:MITStargazers:7195Issues:0Issues:0

spark-scala-tutorial

A free tutorial for Apache Spark.

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stat-learning

Notes and exercise attempts for "An Introduction to Statistical Learning"

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ISLR-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

Language:Jupyter NotebookLicense:MITStargazers:4226Issues:0Issues:0

edX-6.00.2x-Introduction-to-Computational-Thinking-and-Data-Science

MIT edX 6.00.2x Introduction to Computational Thinking and Data Science problem sets code

Language:PythonStargazers:64Issues:0Issues:0

DataScienceResources

Open Source Data Science Resources.

Stargazers:4065Issues:0Issues:0

data-science-ipython-notebooks

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, AWS, and various command lines.

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