AI Packages
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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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Text.jl73Numerous tools for text processing
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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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FluxArchitectures.jl113Complex neural network examples for Flux.jl
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FMIFlux.jl33FMIFlux.jl is a free-to-use software library for the Julia programming language, which offers the ability to set up NeuralFMUs just like NeuralODEs: You can place FMUs (fmi-standard.org) simply inside any feed-forward ANN topology and keep the resulting hybrid model trainable with a standard (or custom) FluxML training process.
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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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WordTokenizers.jl89High performance tokenizers for natural language processing and other related tasks
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ChainPlots.jl42Visualization for Flux.Chain neural networks
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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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BayesianOptimization.jl77Bayesian optimization for Julia
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TSML.jl94A package for time series data processing, classification, clustering, and prediction.
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ONNXNaiveNASflux.jl33Import/export ONNX models
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TensorFlow.jl866A Julia wrapper for TensorFlow
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BetaML.jl72Beta Machine Learning Toolkit
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Languages.jl48A package for working with human languages
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LIBSVM.jl81LIBSVM bindings for Julia
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ScikitLearn.jl520Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/
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DeepQLearning.jl65Implementation of the Deep Q-learning algorithm to solve MDPs
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HSIC.jl6Julia implementations of the Hilbert-Schmidt Independence Criterion (HSIC)
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Torch.jl183Sensible extensions for exposing torch in Julia.
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TSVD.jl33Truncated singular value decomposition with partial reorthogonalization
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Knet.jl1403Koç University deep learning framework.
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ZigZagBoomerang.jl95Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo including Sticky PDMPs for variable selection
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Embeddings.jl73Functions and data dependencies for loading various word embeddings (Word2Vec, FastText, GLoVE)
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ParticleFilters.jl42Simple particle filter implementation in Julia - works with POMDPs.jl models or others.
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ObjectDetector.jl82Pure Julia implementations of single-pass object detection neural networks.
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ShapML.jl72A Julia package for interpretable machine learning with stochastic Shapley values
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AutoMLPipeline.jl325A package that makes it trivial to create and evaluate machine learning pipeline architectures.
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AugmentedGaussianProcesses.jl132Gaussian Process package based on data augmentation, sparsity and natural gradients
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PrivateMultiplicativeWeights.jl45Differentially private synthetic data
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