Pilot library for NLP convolutional nets in Julia

External Machine Learning Libs for TSML

Draw simple Flux neural networks using TikZ

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This is a package for automated landmarking of images and volumes

DeepForest Impletmentation in Julia

Deep and convolutional neural networks with feedback operations in Flux.

Additional layers and functions for Flux.jl.

Make recurrent layers in Flux much faster

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Makie visualization module for TopOpt.jl

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SossMLJ makes it easy to build MLJ machines from user-defined models from the Soss probabilistic programming language

Subspace Inference package for uncertainty analysis in deep neural networks and neural ordinary differential equations using Julia

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A package for working with BioVisionHierarchy files (motion capture data)

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An implementation of ARMA convolutional layers in Julia.

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A collection of background subtraction algorithms for spectroscopic data

Integrate deep neural network and reverse mode automatic differentiation into Gauss process, have fun !

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MLJ.jl interface for JLBoost.jl

MLJ.jl interface for JLBoost.jl

Sklearn Interface and Distributed Training for Flux.jl

Unfolded convolutional learning for motif discovery

Deep Unfolded Convolutional Dictionary Learning for motif discovery.

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A Julia package to handle multi-dimensional radio interferometric data

MulticlassPerceptron.jl

A text classification library using the microtc approach

Dynamical systems identification

@yield-based syntax for iterating over collections—foldl for humans™

A Package for Estimating Stochastic Frontier Models using Julia

Julia code of CycleGAN based on pytorch implementation

Non-critical functions for SeaPearl

A simple interface for defining, training, and deploying MDNs.

I heard you like compile times