conormm Goto Github PK

bandicoot

an open-source python toolbox to analyze mobile phone metadata

bandit_algorithms

bayesian-stats-modelling-tutorial

How to do Bayesian statistical modelling using numpy and PyMC3

blog

brms

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

cm_test_hatch

convoys

Implementation of statistical models to analyze time lagged conversions

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

dog_breeds_kc

dog breeds kaggle comp

gitinpractice

📖 An opinionated intermediate/advanced Git book from @MikeMcQuaid

learn-py-r

Code and other resources from my YouTube series on learning R *and* python side-by-side.

learning-from-imbalanced-classes

Learning From Imbalanced Classes

models

Models and examples built with TensorFlow

mxnet-the-straight-dope

An interactive book on deep learning. Much easy, so MXNet. Wow.

pdp

A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.

pdpbox

python partial dependence plot toolbox

practice_data_la

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 ;)

pydlm

A python library for Bayesian time series modeling

pymc3_nbs

Jupyter notebooks tracking my exploratory dives into probabilistic programming with PyMC3

pytorch-how-and-when-to-use-module-sequential-modulelist-and-moduledict

Code for my medium article

pytorch_blogpost1

resources_and_bookmarks

Personal bookmarks and cheat sheets

shap

A unified approach to explain the output of any machine learning model.

toxic_comments_comp

Kaggle competition on classifying toxic online comments

us_presidential_debates

wide-and-deep-pytorch

PyTorch implementation of Tensorflow's Wide and Deep Algorithm

widyr

Widen, process, and re-tidy a dataset