Advanced exports management for AutomationLabs.jl

Draw simple Flux neural networks using TikZ

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This is a package for automated landmarking of images and volumes

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An adapter package that implements Lighthouse's framework interface for Flux

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[WIP] Wrapper package for simulation and bayesian inference of behavioral models

The Virtual Plant Laboratory

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Adversarial Attack Tool for Knet

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Deep Unfolded Convolutional Dictionary Learning for motif discovery.

A text classification library using the microtc approach

Transliterate Beta Code Greek to Unicode Greek

Valid Discrete-Time Methods for Relaxing pODEs

Data structures for graph neural network

Makie visualization module for TopOpt.jl

Additional layers and functions for Flux.jl.

Generalized linear models for cell-cell communication

Collection of Functions useful for testing various packages in the Lux Ecosystem

A reverse McCormick operator library

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Julia package for the paper "Decomposition with Monotone B-splines: Fitting and Testing"

Compute solar radiation and generate sky domes for VPL

SMLMBoxer.jl is a Julia package that provides a fast and efficient method for detecting particles or blobs in a multidimensional image stack and cutting out sub-regions around local maxima.

Adds support for parallelization for Taija packages.

DeepForest Impletmentation in Julia

Self-concordant Smoothing for Large-Scale Convex Composite Optimization

Character level tokenizers for sequence data

Jet transform operators that depend on FFTW.jl, and Wavelets.jl. Part of the COFII framework.

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Visualization of 3D meshes

Matrices with column weights

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This is a dimensionality reduction algorithm which has the goal of maintaining interpretability i.e we eliminate variables directly from potential models that don't seem to add any predictive power.

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