AI Packages
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TransformVariables.jl66Transformations to contrained variables from ℝⁿ.
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ReinforcementLearning.jl583A reinforcement learning package for Julia
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Embeddings.jl81Functions and data dependencies for loading various word embeddings (Word2Vec, FastText, GLoVE)
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Keras.jl20Run keras models with a Flux backend
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WordTokenizers.jl97High performance tokenizers for natural language processing and other related tasks
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Mill.jl86Build flexible hierarchical multi-instance learning models.
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Metalhead.jl328Computer vision models for Flux
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ONNX.jl139Read ONNX graphs in Julia
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DeepQLearning.jl72Implementation of the Deep Q-learning algorithm to solve MDPs
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AugmentedGaussianProcesses.jl135Gaussian Process package based on data augmentation, sparsity and natural gradients
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FluxJS.jl42I heard you like compile times
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BoltzmannMachines.jl41A Julia package for training and evaluating multimodal deep Boltzmann machines
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JuML.jl38Machine Learning in Julia
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EmpiricalRiskMinimization.jl3Empirical Risk Minimization in Julia.
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MIPVerify.jl113Evaluating Robustness of Neural Networks with Mixed Integer Programming
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NetworkLearning.jl3Baseline collective classification library
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PredictMD.jl17Uniform interface for machine learning in Julia
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NNlib.jl201Neural Network primitives with multiple backends
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CartesianGeneticProgramming.jl70Cartesian Genetic Programming for Julia
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SumProductNetworks.jl38Sum-product networks in Julia.
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DistLearn.jl22Example of distributed learning in Julia
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TheDataMustFlow.jl3Julia tools for feeding tabular data into machine learning.
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MLDataPattern.jl61Utility package for subsetting, resampling, iteration, and partitioning of various types of data sets in Machine Learning
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Nabla.jl67A operator overloading, tape-based, reverse-mode AD
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NeuralNetDiffEq.jl966Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
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POMCPOW.jl52Online solver based on Monte Carlo tree search for POMDPs with continuous state, action, and observation spaces.
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CombineML.jl42Create ensembles of machine learning models from scikit-learn, caret, and julia
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LearningStrategies.jl28A generic and modular framework for building custom iterative algorithms in Julia
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ParticleFilters.jl45Simple particle filter implementation in Julia - works with POMDPs.jl models or others.
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MLLabelUtils.jl32Utility package for working with classification targets and label-encodings
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BayesianNonparametrics.jl31BayesianNonparametrics in julia
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ApproxBayes.jl52Approximate Bayesian Computation (ABC) algorithms for likelihood free inference in julia
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MLDatasets.jl227Utility package for accessing common Machine Learning datasets in Julia
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CorpusLoaders.jl32A variety of loaders for various NLP corpora.
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Reinforce.jl201Abstractions, algorithms, and utilities for reinforcement learning in Julia
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LearnBase.jl17Abstractions for Julia Machine Learning Packages
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Flux.jl4466Relax! Flux is the ML library that doesn't make you tensor
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ScikitLearnBase.jl9Abstract interface of ScikitLearn.jl
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ScikitLearn.jl546Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/
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MLDataUtils.jl102Utility package for generating, loading, splitting, and processing Machine Learning datasets
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