Machine Learning Packages
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CounterfactualExplanations.jl75A package for Counterfactual Explanations and Algorithmic Recourse in Julia.
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ConformalPrediction.jl58Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.
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BrainFlow.jl935BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
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DiffEqFlux.jl771Universal neural differential equations 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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ForneyLab.jl135Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.
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SimpleChains.jl195Simple chains
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Dojo.jl221A differentiable physics engine for robotics
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MLJFlux.jl115Wrapping deep learning models from the package Flux.jl for use in the MLJ.jl toolbox
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Yota.jl145Reverse-mode automatic differentiation in Julia
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Clustering.jl311A Julia package for data clustering
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MLUtils.jl83Utilities and abstractions for Machine Learning tasks
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MLDatasets.jl204Utility package for accessing common Machine Learning datasets in Julia
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Discretizers.jl18A Julia package for data discretization and label maps
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FastAI.jl557Repository of best practices for deep learning in Julia, inspired by fastai
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MLJModels.jl67Home of the MLJ model registry and tools for model queries and mode code loading
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EvoTrees.jl143Boosted trees in Julia
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Enzyme.jl311Julia bindings for the Enzyme automatic differentiator
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FluxOptTools.jl54Use Optim to train Flux models and visualize loss landscapes
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Lux.jl300Explicitly Parameterized Neural Networks in Julia
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LossFunctions.jl137Julia package of loss functions for machine learning.
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GraphNeuralNetworks.jl153Graph Neural Networks in Julia
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ApproxBayes.jl48Approximate Bayesian Computation (ABC) algorithms for likelihood free inference in julia
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MLJ.jl1589A Julia machine learning framework
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ReactiveMP.jl74High-performance reactive message-passing based Bayesian inference engine
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ReservoirComputing.jl172Reservoir computing utilities for scientific machine learning (SciML)
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OpenAI.jl57OpenAI API wrapper for Julia
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AdvancedPS.jl50Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms
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Tracker.jl36Flux's ex AD
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DataAugmentation.jl37Flexible data augmentation library for machine and deep learning
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Ollam.jl6OLLAM: Online Learning of Linear Adaptable Models
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DecisionTree.jl316Julia implementation of Decision Tree (CART) and Random Forest algorithms
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Metalhead.jl297Computer vision models for Flux
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MLJBase.jl140Core functionality for the MLJ machine learning framework
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LightGBM.jl81Julia FFI interface to Microsoft's LightGBM package
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Mill.jl74Multiple Instance Learning Library is build on top of Flux.jl aimed to prototype flexible multi-instance learning models.
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NMF.jl84A Julia package for non-negative matrix factorization
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Wandb.jl51Unofficial Julia bindings for logging experiments to wandb.ai
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StatisticalRethinking.jl366Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.
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AbstractGPs.jl192Abstract types and methods for Gaussian Processes.
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OpenAIReplMode.jl47-
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