Anthony Blaom, PhD (ablaom)

ablaom

Geek Repo

Company:University of Auckland & Alan Turing Institute

Location:Auckland

Home Page:ablaom.github.io

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Organizations
JuliaAI

Anthony Blaom, PhD's repositories

MLJTutorial.jl

Notebooks for introducing the machine learning toolbox MLJ (Machine Learning in Julia)

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TreeParzen.jl

TreeParzen.jl, a pure Julia hyperparameter optimiser with MLJ integration

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ablaom.github.io

My professional web page

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CatBoost.jl

Julia wrapper of the python library CatBoost for boosted decision trees

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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.

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Clustering.jl

A Julia package for data clustering

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CorpusLoaders.jl

A variety of loaders for various NLP corpora.

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DataAPI.jl

A data-focused namespace for packages to share functions

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EvoLinear.jl

Linear models

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EvoTrees.jl

Boosted trees in Julia

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General

The official registry of general Julia packages

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LIBSVM.jl

LIBSVM bindings for Julia

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MLJFlux.jl

An interface to the deep learning package Flux.jl from the MLJ.jl toolbox

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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

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OutlierDetectionNeighbors.jl

Neighbor-based Outlier Detection Algorithms for Julia

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OutlierDetectionNetworks.jl

Neural-Network Outlier Detection Algorithms for Julia

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ParallelKMeans.jl

Parallel & lightning fast implementation of available classic and contemporary variants of the KMeans clustering algorithm

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PartialLeastSquaresRegressor.jl

Implementation of a Partial Least Squares Regressor

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PartitionedLS.jl

Implements the Partitioned Least Squares algorithms

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RAPIDS.jl

A Unofficial Julia wrapper for the RAPIDS.ai ecosystem

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ScikitLearn.jl

Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/

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Tables.jl

An interface for tables in Julia

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TumorGrowth.jl

Simple predictive models for tumor growth, and tools to apply them to clinical data

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UnicodePlots.jl

Unicode-based scientific plotting for working in the terminal

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www.julialang.org

Julia Project website

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XGBoost.jl

XGBoost Julia Package

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