Emory Harris (Lvvphole)

Lvvphole

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Location:United States

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Emory Harris's starred repositories

Mastering-Concurrency-in-Python

Mastering Concurrency in Python, published by Packt

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Modern-Cpp-Programming-Cookbook

Modern Cpp Programming Cookbook, by Packt

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starter-theme

The Shopify Themes Team opinionated starting point for new a Slate project

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graph_nets

Build Graph Nets in Tensorflow

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pipelines

demo of scikit-learn pipelines

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gputools

gputools R package for gpu computing

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sentiment

AFINN-based sentiment analysis for Node.js.

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AzureML-Regression-Example

This repo contains all the code and data necessary to explore non-linear regression using Azure ML.

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Algorithms

:computer: Data Structures and Algorithms in Python

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pomegranate

Fast, flexible and easy to use probabilistic modelling in Python.

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george

Fast and flexible Gaussian Process regression in Python

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AnomalyDetection

Anomaly Detection with R

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baseball-public

Public baseball analytics and data.

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storm-yarn

Storm-yarn enables Storm clusters to be deployed into machines managed by Hadoop YARN.

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pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

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StartupFiles

My IPython startup files.

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deepdive

DeepDive

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learning_to_execute

Learning to Execute

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httpbin

HTTP Request & Response Service, written in Python + Flask.

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cvxpy

A Python-embedded modeling language for convex optimization problems.

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skll

SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.

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pgosquery

Like Facebook's OSQuery, but for Postgres

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facebook-python-business-sdk

Python SDK for Meta Marketing APIs

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osquery

SQL powered operating system instrumentation, monitoring, and analytics.

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stellar

Fast database snapshot and restore tool for development

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numerical-mooc

A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.

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wolf

platform for trading on foreign exchange market

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pyspark-cassandra

Utilities and examples to asssist in working with PySpark and Cassandra.

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