Constrained Bayesian optimization implementation in Nonconvex.jl

Python extensions relating to Caesar.jl

Parameter estimation under uncertainty.

Experimental augmented Lagrangian package.

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Simple predictive models for tumor growth, and tools to apply them to clinical data

Data structures for Particle-in-Cell codes

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Generalized Nernst-Planck-Poisson model for liquid electrolytes

Implementation of Asymptotic Numerical Method

Plotting functions for Plasmo.jl

Visualization of 3D meshes

SEM/EDS particle analysis tools

Load, format, analyze, and plot the Allen Neuropixels datasets

Ray tracing of 3D meshes (not for visualization)

Finite Differencing Method in Julia language

Generate geometry meshes from graphs using turtle algorithms

Make recurrent layers in Flux much faster

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Various closures models (closure -> seal -> seal 🦭 -> walrus) for ocean flavoured fluid dynamics

Visualization for the ConstrainedDynamics.jl package.

Accessing the structure of the Vulkan API

In memory hierarchy of arrays and attributes loaded from disk or to be saved to disk with Zarr.

Deep-learning sliding window attention with circular boundary conditions. No tokenization, no patchify-ing.

Meshes and functions to generate geometry primitives

Simulate Packet Loss Ratio performance of Slotted Random Access Schemes

EPMA matrix correction algorithms

A Julia package for multiple kernel learning based one-class support vector machine.

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Julia code of CycleGAN based on pytorch implementation

This is an visualization package.

A Julia package for graphene analysis

A Julia package to simulate and model interstellar scattering in strong regime.

A visualization package for the OpticSim Julia package

Wrapper of NOMAD.jl using the Nonconvex.jl API.

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