austinrochford Goto Github PK
Name: Austin Rochford
Type: User
Company: Monetate
Bio: Chief Technology Officer @ Monetate, recovering mathematician, enthusiastic Bayesian
Twitter: AustinRochford
Location: Philadelphia, Pa
Austin Rochford's Projects
99-problems-clojure
99 Lisp Problems Solved in Clojure
arviz
Python package to plot and analyse samples from probabilistic models
blog
My personal blog, generated using Hakyll
blog-content
Content for my blog, austinrochford.com
blog-nikola
My nikola-based blog (https://austinrochford.com)
dotfiles
Configuration files
emoji-ipython-magic
An IPython magic for rendering emoji
giphy-ipython-magic
An IPython magic that displays random GIFs from giphy.com
gpy
Gaussian processes framework in python
haskell-mvc-library
Model-view-controller
hmm
Hidden Markov Models in various languages
hypothesis-python
Advanced property-based (QuickCheck-like) testing for Python
lifetimes
Lifetime value in Python
monty-hall
An implementation of the Monty Hall problem using Haskell's monadic probability library
naive-bayes
Naive Bayes Classifier trained in Hadoop
notebooks
My Jupyter notebook server
purely-functional-data-structures
Working through the exercises of Okasaki's _Purely Functional Data Structures_
pycebox
⬛ Python Individual Conditional Expectation Plot Toolbox
pygps
pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.
pyldavis
Python library for interactive topic model visualization. Port of the R LDAvis package.
pymc
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
quickcheck-laws
Using QuickCheck to verify Haskell Typeclass Laws
resources
PyMC3 educational resources
s3img-ipython-magic
An IPython magic that displays images stored in Amazon S3
s3nb
S3-backed notebook manager for IPython 2.x
spotlight
Deep recommender models using PyTorch.
statistical-rethinking-with-python-and-pymc3
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
theano
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.
webmc3
A web interface for exploring PyMC3 traces
weighted
Weighted operations for Pandas DataFrames ⚖️
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