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/HelloJulia.jl
ablaom/MLJTutorial.jl
Notebooks for introducing the machine learning toolbox MLJ (Machine Learning in Julia)
ablaom/TumorGrowth.jl
Simple predictive models for tumor growth, and tools to apply them to clinical data
ablaom/TreeParzen.jl
TreeParzen.jl, a pure Julia hyperparameter optimiser with MLJ integration
ablaom/ablaom.github.io
My professional web page
ablaom/CatBoost.jl
Julia wrapper of the python library CatBoost for boosted decision trees
ablaom/ChainRulesCore.jl
AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any particular AD system.
ablaom/Clustering.jl
A Julia package for data clustering
ablaom/CorpusLoaders.jl
A variety of loaders for various NLP corpora.
ablaom/DataAPI.jl
A data-focused namespace for packages to share functions
ablaom/DSTSkeleton
ablaom/EvoLinear.jl
Linear models
ablaom/EvoTrees.jl
Boosted trees in Julia
ablaom/General
The official registry of general Julia packages
ablaom/LIBSVM.jl
LIBSVM bindings for Julia
ablaom/MLJFlux.jl
An interface to the deep learning package Flux.jl from the MLJ.jl toolbox
ablaom/NRT_Forest_Model_jl
Re-implementation of a spatially explicit (grid-based) model of NZ forest dynamics - see Morales et al. 2017 (doi: 10.1016/j.ecolmodel.2017.04.007) and Brock et al. 2020 (doi: 10.1111/1365-2745.13305). Runs in Julia using Agents.jl
ablaom/OutlierDetectionNeighbors.jl
Neighbor-based Outlier Detection Algorithms for Julia
ablaom/OutlierDetectionNetworks.jl
Neural-Network Outlier Detection Algorithms for Julia
ablaom/ParallelKMeans.jl
Parallel & lightning fast implementation of available classic and contemporary variants of the KMeans clustering algorithm
ablaom/PartialLeastSquaresRegressor.jl
Implementation of a Partial Least Squares Regressor
ablaom/PartitionedLS.jl
Implements the Partitioned Least Squares algorithms
ablaom/PrecompilePlutoCourse.jl
ablaom/RAPIDS.jl
A Unofficial Julia wrapper for the RAPIDS.ai ecosystem
ablaom/ScikitLearn.jl
Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/
ablaom/SelfOrganizingMaps.jl
ablaom/Tables.jl
An interface for tables in Julia
ablaom/UnicodePlots.jl
Unicode-based scientific plotting for working in the terminal
ablaom/www.julialang.org
Julia Project website
ablaom/XGBoost.jl
XGBoost Julia Package