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metalhead.jl's Introduction

Metalhead

Dev CI Coverage

Metalhead.jl provides standard machine learning vision models for use with Flux.jl. The architectures in this package make use of pure Flux layers, and they represent the best-practices for creating modules like residual blocks, inception blocks, etc. in Flux. Metalhead also provides some building blocks for more complex models in the Layers module.

Installation

julia> ]add Metalhead

Available models

Model Name Function Pre-trained?
VGG VGG Y (w/o BN)
ResNet ResNet Y
WideResNet WideResNet Y
GoogLeNet GoogLeNet N
Inception-v3 Inceptionv3 N
Inception-v4 Inceptionv4 N
InceptionResNet-v2 Inceptionv3 N
SqueezeNet SqueezeNet Y
DenseNet DenseNet N
ResNeXt ResNeXt Y
MobileNetv1 MobileNetv1 N
MobileNetv2 MobileNetv2 N
MobileNetv3 MobileNetv3 N
EfficientNet EfficientNet N
MLPMixer MLPMixer N
ResMLP ResMLP N
gMLP gMLP N
ViT ViT N
ConvNeXt ConvNeXt N
ConvMixer ConvMixer N

To contribute new models, see our contributing docs.

Getting Started

You can find the Metalhead.jl getting started guide here.

metalhead.jl's People

Contributors

alexander-barth avatar ashwani-rathee avatar avik-pal avatar ayush1999 avatar carlolucibello avatar ceferisbarov avatar chrisrackauckas avatar cluffa avatar cyborg1995 avatar darsnack avatar dhairyalgandhi avatar github-actions[bot] avatar iblislin avatar juliatagbot avatar keno avatar logankilpatrick avatar mcabbott avatar mikeinnes avatar pri1311 avatar rishabhvarshney14 avatar saransh-cpp avatar shivance avatar sklan avatar staticfloat avatar theabhirath avatar touchesir avatar trahflow avatar varlad avatar viralbshah avatar yuehhua avatar

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