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docker-cheat-sheet

Docker Cheat Sheet

firefly-monte-carlo

Implementation of an algorithm for Markov chain Monte Carlo with data subsampling

golearn

Machine Learning for Go

gp-r

A place for all things Pivotal & R

gp-sql-snippets

Temporary home for data processing/machine learning SQL snippets on Greenplum/HAWQ

gp_xgboost_gridsearch

In-database parallel grid-search for XGBoost on Greenplum

improving-deep-neural-networks-hyperparameter-tuning-regularization-and-optimization

learning-spark

Example code from Learning Spark book

madlib

Open-source library for scalable in-database analytics.

mini-projects

A ew mini projects done a while back

mmm

neural-networks-and-deep-learning

openai-quickstart-python

Python example app from the OpenAI API quickstart tutorial

pandas_via_psql

Invoke Pandas plotting by piping in SQL output via PSQL (Can be used with Postgres or Greenplum or any SQL engine).

pivotalr

pymadlib

A Python wrapper for MADlib (http://madlib.net) - an open source library for scalable in-database machine learning algorithms

pyspark-1.2

Docker image with Hadoop 2.6.0 and spark 1.2.0, with python machine learning libraries installed

python-nlp

Jupyter notebooks from following the Tutorials from "Natural Language Text Processing with Python" by Jonathan Mugan

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

scipy

Scipy library main repository

spark

Mirror of Apache Spark

spark-testing-base

Base classes to use when writing tests with Spark

stat-learning

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

structuring-ml-projects

tensorflow

tf-idf

tf-idf Implementation

turbine