Alan Jeffares's repositories
elements-of-statistical-learning
Documenting my progress as I work through The Elements of Statistical Learning book by T. Hastie, R. Tibshirani, and J. Friedman
notebook-to-microservice
Sample repository (to accompany my blog post) for putting machine learning code into production.
data-science-nanodegree
My complete solutions to the four projects undertaken as part of the Udacity Data Science nanodegree
subtractive-clustering
My implementation of the subtractive clustering algorithm as described in Sheng-Wu Xiong, Xiao-Xiao Niu and Hong-Bing Liu, (2005)
super-learner
My implementation of the stacked ensemble Super Learner as described in Mark J. van der Laan et al, (2007)
mclust-app
An R Shiny application implementing mclust, a popular R package for model based clustering and classification
lunar-lander
Comparing ML against RL for beating OpenAI's Lunar Lander game
Simplex
This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help of a corpus of examples. For more details, please read our NeurIPS 2021 paper: 'Explaining Latent Representations with a Corpus of Examples'.
tabular-dl-revisiting-models
The official implementation of the paper "Revisiting Deep Learning Models for Tabular Data" (NeurIPS 2021)
vision
Datasets, Transforms and Models specific to Computer Vision