Name: Anthony Blaom, PhD
Type: User
Company: University of Auckland & Alan Turing Institute
Bio: Mathematician and Data Scientist, PhD Caltech •
Expertise: Differential Geometry, Dynamical Systems, Fluid Mechanics, Statistics, Machine Learning, Julia
Location: Auckland
Blog: ablaom.github.io
Anthony Blaom, PhD's Projects
A module for exposing the low-level interface of the Koala machine learning environment
Special plotting methods for use with the Koala machine learning environment
Ridge regression within the Koala machine learning environment
Common data transformations performed in machine learning, for use with the Koala environment
Decision tree learning algorithms for use with MLJ
LIBSVM bindings for Julia
Julia FFI interface to Microsoft's LightGBM package
Julia package of loss functions for machine learning.
Resources for a 3.5 hour workshop on machine learning using the MLJ toolbox
A Julia machine learning framework
Base code for implementing the MLJ interface for machine learning models
A Bias audit and mitigation toolkit
An interface to the deep learning package Flux.jl from the MLJ.jl toolbox
[WIP] Machine Learning with Time Series in Julia
Hyperparameter optimization algorithms for use in the MLJ machine learning framework
Notebooks for introducing the machine learning toolbox MLJ (Machine Learning in Julia)
MulticlassPerceptron.jl
Introduction to multiple linear regression
Tools for working with Iterators of Iterators of ...., with particular application in NLP which has Corpus made up of Document made up of Paragraphs made up of Sentences made up of Words made up of Characters
Naive Bayes classifier
High performance nearest neighbor data structures and algorithms for Julia.
Code used for testing nearest neighbor regularization of single decision trees
C++ code for training feed-forward artificial neural networks in supervised machine learning
Fast, scalable and flexible Outlier Detection with Julia
Neighbor-based Outlier Detection Algorithms for Julia