Neural Networks Packages

StackedNets.jl1

MultiLabelNeuralNetwork.jl3A simple feedforward neural network for multilabel classification

RNN.jl3RNN package for Julia

KnetOnnx.jl3Move your models to Knet!

FANN.jl5A Julia wrapper for the Fast Artificial Neural Network Library (FANN)

NeuralNetworks.jl10Hacking torchlike neural networks in Julia

SpikeNet.jl21A spiking neural network simulator written in Julia.

FMIFlux.jl33FMIFlux.jl is a freetouse software library for the Julia programming language, which offers the ability to set up NeuralFMUs just like NeuralODEs: You can place FMUs (fmistandard.org) simply inside any feedforward ANN topology and keep the resulting hybrid model trainable with a standard (or custom) FluxML training process.

ONNXNaiveNASflux.jl33Import/export ONNX models

SumProductNetworks.jl36Sumproduct networks in Julia.

NeuralNets.jl36Generic artificial neural networks in Julia

ChainPlots.jl42Visualization for Flux.Chain neural networks

ANN.jl57Julia artificial neural networks

Boltzmann.jl66Restricted Boltzmann Machines in Julia

InvertibleNetworks.jl101A Julia framework for invertible neural networks

RecurrentNN.jl108Deep RNN, LSTM, GRU, GFRNN, and GFLSTMs in Julia

FluxArchitectures.jl113Complex neural network examples for Flux.jl

ONNX.jl122Read ONNX graphs in Julia

NNlib.jl165Neural Network primitives with multiple backends

NeuralNetDiffEq.jl755PhysicsInformed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
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