Machine Learning Packages

CounterfactualExplanations.jl75A package for Counterfactual Explanations and Algorithmic Recourse in Julia.

ConformalPrediction.jl58Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.

BrainFlow.jl935BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors

DiffEqFlux.jl771Universal neural differential equations with O(1) backprop, GPUs, and stiff+nonstiff DE solvers, demonstrating scientific machine learning (SciML) and physicsinformed machine learning methods

ForneyLab.jl135Julia package for automatically generating Bayesian inference algorithms through message passing on Forneystyle factor graphs.

SimpleChains.jl195Simple chains

Dojo.jl221A differentiable physics engine for robotics

MLJFlux.jl115Wrapping deep learning models from the package Flux.jl for use in the MLJ.jl toolbox

Yota.jl145Reversemode automatic differentiation in Julia

Clustering.jl311A Julia package for data clustering

MLUtils.jl83Utilities and abstractions for Machine Learning tasks

MLDatasets.jl204Utility package for accessing common Machine Learning datasets in Julia

Discretizers.jl18A Julia package for data discretization and label maps

FastAI.jl557Repository of best practices for deep learning in Julia, inspired by fastai

MLJModels.jl67Home of the MLJ model registry and tools for model queries and mode code loading

EvoTrees.jl143Boosted trees in Julia

Enzyme.jl311Julia bindings for the Enzyme automatic differentiator

FluxOptTools.jl54Use Optim to train Flux models and visualize loss landscapes

Lux.jl300Explicitly Parameterized Neural Networks in Julia

LossFunctions.jl137Julia package of loss functions for machine learning.

GraphNeuralNetworks.jl153Graph Neural Networks in Julia

ApproxBayes.jl48Approximate Bayesian Computation (ABC) algorithms for likelihood free inference in julia

MLJ.jl1589A Julia machine learning framework

ReactiveMP.jl74Highperformance reactive messagepassing based Bayesian inference engine

ReservoirComputing.jl172Reservoir computing utilities for scientific machine learning (SciML)

OpenAI.jl57OpenAI API wrapper for Julia

AdvancedPS.jl50Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms

Tracker.jl36Flux's ex AD

DataAugmentation.jl37Flexible data augmentation library for machine and deep learning

Ollam.jl6OLLAM: Online Learning of Linear Adaptable Models

DecisionTree.jl316Julia implementation of Decision Tree (CART) and Random Forest algorithms

Metalhead.jl297Computer vision models for Flux

MLJBase.jl140Core functionality for the MLJ machine learning framework

LightGBM.jl81Julia FFI interface to Microsoft's LightGBM package

Mill.jl74Multiple Instance Learning Library is build on top of Flux.jl aimed to prototype flexible multiinstance learning models.

NMF.jl84A Julia package for nonnegative matrix factorization

Wandb.jl51Unofficial Julia bindings for logging experiments to wandb.ai

StatisticalRethinking.jl366Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.

AbstractGPs.jl192Abstract types and methods for Gaussian Processes.

OpenAIReplMode.jl47
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