AI Packages

AbstractGPs.jl192Abstract types and methods for Gaussian Processes.

AdaGram.jl169Adaptive Skipgram implementation in Julia

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

AlphaZero.jl1131A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.

ANN.jl57Julia artificial neural networks

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

AugmentedGaussianProcesses.jl132Gaussian Process package based on data augmentation, sparsity and natural gradients

AutoMLPipeline.jl325A package that makes it trivial to create and evaluate machine learning pipeline architectures.

Avalon.jl105Starter kit for legendary models

BackpropNeuralNet.jl47A neural network in Julia

BayesianNonparametrics.jl30BayesianNonparametrics in julia

BayesianOptimization.jl77Bayesian optimization for Julia

BetaML.jl72Beta Machine Learning Toolkit

BKTrees.jl7BurkhardKeller trees implementation

BNMF.jl4Bayesian Nonnegative Matrix Factorization

Boltzmann.jl66Restricted Boltzmann Machines in Julia

BoltzmannMachines.jl38A Julia package for training and evaluating multimodal deep Boltzmann machines

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

CartesianGeneticProgramming.jl69Cartesian Genetic Programming for Julia

ChainPlots.jl42Visualization for Flux.Chain neural networks

Clustering.jl311A Julia package for data clustering

CombineML.jl41Create ensembles of machine learning models from scikitlearn, caret, and julia

CommonRLInterface.jl40A minimal reinforcement learning environment interface with additional optin features.

ConceptnetNumberbatch.jl4Julia API for ConceptNetNumberbatch

ConfidenceWeighted.jl1Confidence weighted classifier

ConformalPrediction.jl58Predictive 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.jl75A 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.jl37Flexible data augmentation library for machine and deep learning

DataLoaders.jl71A parallel iterator for large machine learning datasets that don't fit into memory inspired by PyTorch's `DataLoader` class.

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

DecisionTrees.jl3

DeepQLearning.jl65Implementation of the Deep Qlearning algorithm to solve MDPs

DependencyTrees.jl11Dependency parsing in Julia

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

Discretizers.jl18A Julia package for data discretization and label maps

DistLearn.jl22Example of distributed learning in Julia

Dojo.jl221A differentiable physics engine for robotics
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