An implementation of the Graves & Schmidhuber (2005) bidirectional LSTM in Flux.
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Updated
May 14, 2018 - Julia
An implementation of the Graves & Schmidhuber (2005) bidirectional LSTM in Flux.
Densenet and Other Models on the MURA (musculoskeletal radiographs) Dataset using Flux
CNN Visualizations in Flux
Run keras models with a Flux backend
Neural Arithmetic Logic Units using Flux.jl
Implementation of Google's Deep Dream in Julia using Flux
Fast Neural Style Transfer in Julia
Practicing in Julia Lang
Differentiable Duckietown
Experiments with variational autoencoders in Julia
model converter from Chainer to Flux
Flux.jl implementation of (part of) "SinGAN: Learning a Generative Model from a Single Natural Image"
Implementation of "Auto-Encoding Variational Bayes" by Kingma and Welling, 2014 in Julia [VAE in Julia]. Still working on it.
I heard you like compile times
Auto differentiation over linear algebras (a Zygote extension)
Benchmarks across Deep Learning Frameworks in Julia and Python
DCGAN implementation using Flux.jl
Julia implementation of Variational Auto Encoder (VAE) model
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