Geotherm calculation routines according to Dr. Derrek Hasterok and Dr. David Chapman

Power spectrum inference of irregularly sampled time series using Gaussian Processes in Julia

Generate nice reports from MCMC-based approximations

-

Optimal experimental design of ODE and DAE systems in julia

Plots for ComputerAdaptiveTesting.jl and FittedItemBanks.jl

Bayesian Safety Signal Detection in Julia

-

-

A flexible toolkit for simulation based inference in Julia

Repository for the BarBay Julia package for Bayesian inference of relative fitness on barcode sequencing data.

Heatmaps for vision models in Julia.

Implementation of Arxiv:2212.08549 in Julia

Auto-differentiable methods for Cosmology

Geometry optimization for molecular simulation

Julia package for Optical fibers

Python extensions relating to Caesar.jl

Implementation fo ray transfer matrix analysis for optical beams

Julia-side implementation of the Aiida plugin of DFTK

Vector Finite Difference Maxwell Modesolver

Symbolics-based function property propagation for optimization

Tools for working with Bifrost in Julia

Image files for olive

Scalable nonparametric clustering with unified marker gene selection for single-cell RNA-seq data

Analyze the layout of manuscript pages edited according to the conventions of the Homer Multitext project

High Level API Finite Element Methods based on ExtendableGrids and ExtendableFEMBase

-

High performance hybrid Monte Carlo simulation

A Julia package for plotting sequential sampling models

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

A Julia package to perform large-scale sparse diagonalization.

Fast and flexible glacier ice flow models

AstroSat/UVIT grating spectroscopy and aperture photometry tools

To generate Barnsley Fern patterns

Julia Implementation of the nonintrusive model reduction approaches: Operator Inference (OpInf) and Lift & Learn (LnL)

A Julia implementation of the algorithm described in: Avrutin V et al. Calculation of homoclinic and heteroclinic orbits in 1D maps. Commun Nonlinear Sci Numer Simulat (2014), http://dx.doi.org/10.1016/j.cnsns.2014.07.008

Efficient inverse statistical mechanical algorithms to generate effective potentials or configurations from pair correlation functions or structure factors.

Data driven acoustic propagation models

-

Generate plain-text editions of texts in the HMT archive in as many formats as you please.