Machine Learning Packages
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Enzyme.jl438Julia bindings for the Enzyme automatic differentiator
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Lux.jl479Elegant & Performant Scientific Machine Learning in Julia
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ExplainableAI.jl106Explainable AI in Julia.
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LightGBM.jl93Julia FFI interface to Microsoft's LightGBM package
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DiffEqFlux.jl861Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
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FluxTraining.jl119A flexible neural net training library inspired by fast.ai
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GraphNeuralNetworks.jl218Graph Neural Networks in Julia
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CounterfactualExplanations.jl117A package for Counterfactual Explanations and Algorithmic Recourse in Julia.
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BrainFlow.jl1273BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
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MLJ.jl1779A Julia machine learning framework
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FastAI.jl589Repository of best practices for deep learning in Julia, inspired by fastai
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GLMNet.jl94Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet
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Metalhead.jl328Computer vision models for Flux
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AutoMLPipeline.jl355A package that makes it trivial to create and evaluate machine learning pipeline architectures.
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Knet.jl1427Koç University deep learning framework.
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MLJLinearModels.jl81Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)
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BoltzmannMachines.jl41A Julia package for training and evaluating multimodal deep Boltzmann machines
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TensorBoardLogger.jl102Easy peasy logging to TensorBoard with Julia
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LossFunctions.jl147Julia package of loss functions for machine learning.
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MLJFlux.jl145Wrapping deep learning models from the package Flux.jl for use in the MLJ.jl toolbox
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AdvancedPS.jl56Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms
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AbstractGPs.jl217Abstract types and methods for Gaussian Processes.
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DataAugmentation.jl41Flexible data augmentation library for machine and deep learning
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StatisticalRethinking.jl386Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.
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DecisionTree.jl351Julia implementation of Decision Tree (CART) and Random Forest algorithms
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EvoTrees.jl175Boosted trees in Julia
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Dojo.jl307A differentiable physics engine for robotics
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SimpleChains.jl234Simple chains
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TensorFlow.jl884A Julia wrapper for TensorFlow
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NMF.jl91A Julia package for non-negative matrix factorization
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Tracker.jl51Flux's ex AD
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ConformalPrediction.jl135Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.
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ScikitLearn.jl546Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/
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Wandb.jl82Unofficial Julia bindings for logging experiments to wandb.ai
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MLJModels.jl80Home of the MLJ model registry and tools for model queries and mode code loading
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ReactiveMP.jl99High-performance reactive message-passing based Bayesian inference engine
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Clustering.jl353A Julia package for data clustering
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CombineML.jl42Create ensembles of machine learning models from scikit-learn, caret, and julia
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MLDatasets.jl227Utility package for accessing common Machine Learning datasets in Julia
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ShapML.jl82A Julia package for interpretable machine learning with stochastic Shapley values
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