Victor Calderon (vcalderon2009)

vcalderon2009

Geek Repo

Location:Nashville, TN

Home Page:http://vcalderon.me/

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Victor Calderon's repositories

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

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introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

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ADACS-obs-workshop

Material from the ADACS computing workshop held at Curtin university 13 to 15 November 2017

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git-flight-rules

Flight rules for git

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bombcat

Examples of how to fit models to data with Gaussian Process regression

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astroph-coffee

A small Tornado webapp to review and vote on astro-ph papers (http://phn14.astro.princeton.edu/astroph-coffee)

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ConvolutionalNeuralNetwork-quick

This repository provides a library and a demo to create Convolutional Neural Networks in tensorflow quickly. Only create a dictionary and a list.

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ds_intro

Introduction to Data Science with Python

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alex_Contour

Repository of scripts for the Contours of Segments

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best-resume-ever

:necktie: :briefcase: Build fast :rocket: and easy multiple beautiful resumes and create your best CV ever! Made with Vue and LESS.

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AstroHackWeek2017

Materials for the 2017 Astro Hack Week

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autoenv

Directory-based environments.

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shablona

A template for small scientific python projects

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DataAnalysisRecipes

chapters of a book Hogg will never write

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rst-cheatsheet

A two-page cheatsheet for restructured text

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Adlibre-TMS

Timesheet and Expense tracking system for the web. Build with Python & Django. Interfaces to Saasu.

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mpl-scatter-density

:zap: Fast scatter density plots for Matplotlib :zap:

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pyro2

A simple python-based tutorial on computational methods for hydrodynamics

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TensorFlow-World

:earth_americas: Simple and ready-to-use tutorials for TensorFlow

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Applied-Machine-Learning-in-Python

Coursera Applied Machine Learning in Python

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pylearn2

Warning: This project does not have any current developer. See bellow.

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general

general course materials and information

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yellowbrick

Visual analysis and diagnostic tools to facilitate machine learning model selection.

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pyastro17-tutorials-1

Tutorials on software repositories and code testing from the Python in Astronomy 2017 meeting

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pyastro17-tutorials

Machine learning tutorials for Python in Astronomy 2017

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synergy

Share one mouse and keyboard between multiple computers

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R

R Example Scripts

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Dora

Tools for exploratory data analysis in Python

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