Ross Richardson's repositories
statistical_rethinking2
Notebooks (mostly R but some PyMC3) covering Prof Richard McElreath's Statistical Rethinking 2 book (draft version up to 26th Sept 2019) and Homeworks from his winter 2019 lecture course
arxiv-sanity-preserver
Web interface for browsing, search and filtering recent arxiv submissions
challenges
PyBites Code Challenges
dataset-cleaner
Notebook with the necessary instructions and code to clean your computer vision dataset
fastaiL2_GoogleDeployment
Google App Engine deployment of Fastai Lesson 2 image classification model, trained to classify images of dogs found on Google Images ('occidentalis', 'baileyi', 'familiaris', 'arctos', 'husky', 'lupus_lupus').
google-images-dataset
This repository provides the necessary code to create your own Google Images Dataset.
Physhik-Study-of-David-Mackay-s-book-
David Mackay's book review and problem solvings and own python codes, mathematica files
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 ;)
rer98.github.io
Rossito's blog
stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
statrethinking_winter2019
Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019
sumproduct
Sum product algorithm - Belief propagation (message passing) for factor graphs