Neural Networks Packages

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

NNlib.jl165Neural Network primitives with multiple backends

ONNX.jl122Read ONNX graphs in Julia

FluxArchitectures.jl113Complex neural network examples for Flux.jl

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

InvertibleNetworks.jl101A Julia framework for invertible neural networks

Boltzmann.jl66Restricted Boltzmann Machines in Julia

ANN.jl57Julia artificial neural networks

ChainPlots.jl42Visualization for Flux.Chain neural networks

SumProductNetworks.jl36Sumproduct networks in Julia.

NeuralNets.jl36Generic artificial neural networks in Julia

ONNXNaiveNASflux.jl33Import/export ONNX models

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.

SpikeNet.jl21A spiking neural network simulator written in Julia.

NeuralNetworks.jl10Hacking torchlike neural networks in Julia

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

KnetOnnx.jl3Move your models to Knet!

RNN.jl3RNN package for Julia

MultiLabelNeuralNetwork.jl3A simple feedforward neural network for multilabel classification

StackedNets.jl1
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