ppalmes

CombineML.jl

Create ensembles of machine learning models from scikit-learn, caret, and julia

JuliaWorkshop

Collections of Tutorials and Demos for Learning Julia in Data Science, Simulation/Modeling, and High Performance Computing

AMLPipelineR

An extension of AutoMLPipeline using R libraries for ML and Preprocessing elements

TSML.jl

TSML (Time Series Machine Learning Package) is package for Time Series data processing and prediction. It combines ML libraries from Python's ScikitLearn, R's Caret, and Julia using a common API and allows seamless ensembling and integration of heterogenous ML libraries to create complex models for robust time-series prediction.

UPVTalk

collections of cli workflows, tips, shortcuts, and favorite sites

AutoMLPipeline.jl

Automatic ML Pipeline Discovery and Optimization

AutoMLPipelineV.jl

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

DecisionTree.jl

Julia implementation of Decision Tree (CART) and Random Forest algorithms

OpenMLOps

ThreadPools.jl

Improved thread management for background and nonuniform tasks in Julia. Docs at https://tro3.github.io/ThreadPools.jl

tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

TSMLextra.jl

External Machine Learning Libs for TSML

adversarial-robustness-toolbox

Python library for adversarial attacks and defenses (evasion, poisoning) for neural networks with multiple framework support

ArgParse.jl

Package for parsing command-line arguments to Julia programs.

DataFrames.jl

In-memory tabular data in Julia

Documenter.jl

A documentation generator for Julia.

EmpiricalCDFs.jl

Online empirical cumulative distribution functions

FfDL

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

Gadfly.jl

Crafty statistical graphics for Julia.

Genie.jl

The highly productive Julia web framework

Impute.jl

Imputation methods for missing data in julia

JuliaBoxTutorials

JuliaConProc2019

MLDataPattern.jl

Utility package for subsetting, resampling, iteration, and partitioning of various types of data sets in Machine Learning

MLDataUtils.jl

Utility package for generating, loading, splitting, and processing Machine Learning datasets

MyDotConfigs

random-experiments

RCall.jl

Embedded R within Julia

rl-baselines-zoo

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

TSMLJuliaCon2019Paper