Victor Calderon's repositories
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
Bios6301
Biostatistics 301: Introduction to Statistical Computing
brief-ideas
The Journal of Brief Ideas
data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes
datashader
Bin based rendering toolchain
datasharing
The Leek group guide to data sharing
hmf
Python halo mass function calculator
jekyll-now
Build a Jekyll blog in minutes, without touching the command line.
latex-makefile
A Makefile for LaTeX - drop it in, type make, and magic happens.
LSSTC-DSFP-Sessions
For computing/programming/statistical resources compiled by LSSTC Data Science Fellows
MachineLearning
Files for the UTSC machine learning seminar
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Python
Example Python Scripts
python-machine-learning-book
The "Python Machine Learning" book code repository and info resource
python-packaging
Tutorial on how to structure Python packages
python4astronomers
Practical Python for Astronomers workshop
scientific_python_cheat_sheet
simple overview of python, numpy, scipy, matplotlib functions that are useful for scientific work
simpleabc
A Python package for Approximate Bayesian Computation
sta-663-2016
STA663 Statistical Computing and Computation, Spring 2016
storm
Manage your SSH like a boss.
sublime-cheat-sheets
A Sublime Text cheat sheets plugin.