Make recurrent layers in Flux much faster
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Updated
Sep 12, 2021 - Julia
Make recurrent layers in Flux much faster
A collection of Quasi-Newton optimization algorithms implemented in Julia.
Automatic Differentiation rules for Boolean Types and functions.
A collection of common machine learning problems solved in Julia (with Flux)
Simple flux model thats solves the xor problem.
Explaining hierarchical models built in https://github.com/CTUAvastLab/Mill.jl
A library for performing neural network inference over homomorphically encrypted data
Sistema de detección de mascarillas en rostros usando diferentes técnicas (CNN,RNA,SVM...)
Simple CNN for FashionMNIST classification
Training Implicit Generative Models via an Invariant statistical loss (ISL)
Densenet and Other Models on the MURA (musculoskeletal radiographs) Dataset using Flux
Tracker compatible Flux
Visualize loss landscape
Additional layers and functions for Flux.jl.
Implementation of a generic U-Net: a convolutional neural network for image segmentation.
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