AI Packages

AbstractGPs.jl217Abstract types and methods for Gaussian Processes.

AdaGram.jl170Adaptive Skipgram implementation in Julia

AdvancedPS.jl56Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms

AlphaZero.jl1232A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.

ANN.jl55Julia artificial neural networks

ApproxBayes.jl52Approximate Bayesian Computation (ABC) algorithms for likelihood free inference in julia

AugmentedGaussianProcesses.jl135Gaussian Process package based on data augmentation, sparsity and natural gradients

AutoMLPipeline.jl355A package that makes it trivial to create and evaluate machine learning pipeline architectures.

Avalon.jl106Starter kit for legendary models

BackpropNeuralNet.jl47A neural network in Julia

BayesianNonparametrics.jl31BayesianNonparametrics in julia

BayesianOptimization.jl91Bayesian optimization for Julia

BetaML.jl92Beta Machine Learning Toolkit

BKTrees.jl7BurkhardKeller trees implementation

BNMF.jl5Bayesian Nonnegative Matrix Factorization

Boltzmann.jl68Restricted Boltzmann Machines in Julia

BoltzmannMachines.jl41A Julia package for training and evaluating multimodal deep Boltzmann machines

BrainFlow.jl1273BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors

CartesianGeneticProgramming.jl70Cartesian Genetic Programming for Julia

ChainPlots.jl64Visualization for Flux.Chain neural networks

Clustering.jl353A Julia package for data clustering

CombineML.jl42Create ensembles of machine learning models from scikitlearn, caret, and julia

CommonRLInterface.jl45A minimal reinforcement learning environment interface with additional optin features.

ConceptnetNumberbatch.jl4Julia API for ConceptNetNumberbatch

ConfidenceWeighted.jl1Confidence weighted classifier

ConformalPrediction.jl135Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.

Contingency.jl1Experimental automated machine learning for Julia.

CorpusLoaders.jl32A variety of loaders for various NLP corpora.

CounterfactualExplanations.jl117A package for Counterfactual Explanations and Algorithmic Recourse in Julia.

DAI.jl2A julia binding to the C++ discrete approximate inference library for graphical models: libDAI

DataAugmentation.jl41Flexible data augmentation library for machine and deep learning

DataLoaders.jl76A parallel iterator for large machine learning datasets that don't fit into memory inspired by PyTorch's `DataLoader` class.

DecisionTree.jl351Julia implementation of Decision Tree (CART) and Random Forest algorithms

DecisionTrees.jl3

DeepQLearning.jl72Implementation of the Deep Qlearning algorithm to solve MDPs

DependencyTrees.jl11Dependency parsing in Julia

DiffEqFlux.jl861Prebuilt implicit layer architectures with O(1) backprop, GPUs, and stiff+nonstiff DE solvers, demonstrating scientific machine learning (SciML) and physicsinformed machine learning methods

Discretizers.jl18A Julia package for data discretization and label maps

DistLearn.jl22Example of distributed learning in Julia

Dojo.jl307A differentiable physics engine for robotics
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