ablaom
Mathematician and Data Scientist, PhD Caltech • Expertise: Differential Geometry, Dynamical Systems, Fluid Mechanics, Statistics, Machine Learning, Julia
University of Auckland & Alan Turing InstituteAuckland
Pinned Repositories
HelloJulia.jl
Koala.jl
Julia machine learning environment
KoalaEnsembles.jl
Ensemble methods for the Koala machine learning environment
KoalaTrees.jl
Decision tree learning algorithms for use with MLJ
MachineLearningInJulia2020
Resources for a 3.5 hour workshop on machine learning using the MLJ toolbox
MLJTutorial.jl
Notebooks for introducing the machine learning toolbox MLJ (Machine Learning in Julia)
MLJ.jl
A Julia machine learning framework
MLJBase.jl
Core functionality for the MLJ machine learning framework
MLJTuning.jl
Hyperparameter optimization algorithms for use in the MLJ machine learning framework
ScientificTypes.jl
An API for dispatching on the "scientific" type of data instead of the machine type
ablaom's Repositories
ablaom/MachineLearningInJulia2020
Resources for a 3.5 hour workshop on machine learning using the MLJ toolbox
ablaom/KoalaTrees.jl
Decision tree learning algorithms for use with MLJ
ablaom/Stacking
Examples of model composition in Julia with MLJ
ablaom/2020.07.Workshop
ablaom/CSV.jl
Utility library for working with CSV and other delimited files in the Julia programming language
ablaom/DataFrames.jl
In-memory tabular data in Julia
ablaom/Distributions.jl
A Julia package for probability distributions and associated functions.
ablaom/ForBetaMLReview
ablaom/gitignore
A collection of useful .gitignore templates
ablaom/GLM.jl
Generalized linear models in Julia
ablaom/InstantiateFromURL.jl
ablaom/JLSO.jl
Julia Serialized Object (JLSO) file format for storing checkpoint data.
ablaom/LightGBM.jl
Julia FFI interface to Microsoft's LightGBM package
ablaom/LossFunctions.jl
Julia package of loss functions for machine learning.
ablaom/MLCourse
ablaom/MLJ.jl
A Julia machine learning framework
ablaom/MLJBase.jl
Base code for implementing the MLJ interface for machine learning models
ablaom/MLJDesignPaper
ablaom/MLJFair.jl
A Bias audit and mitigation toolkit
ablaom/MLJTime.jl
[WIP] Machine Learning with Time Series in Julia
ablaom/MLJTuning.jl
Hyperparameter optimization algorithms for use in the MLJ machine learning framework
ablaom/MulticlassPerceptron.jl
MulticlassPerceptron.jl
ablaom/MultiResolutionIterators.jl
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
ablaom/NaiveBayes.jl
Naive Bayes classifier
ablaom/NearestNeighbors.jl
High performance nearest neighbor data structures and algorithms for Julia.
ablaom/OutlierDetection.jl
Fast, scalable and flexible Outlier Detection with Julia
ablaom/PersistenceDiagrams.jl
Persistence Diagrams in Julia
ablaom/ShapML.jl
A Julia package for interpretable machine learning with stochastic Shapley values
ablaom/TableTransforms.jl
Transforms and pipelines with tabular data
ablaom/TestBinder