Exoplanet System Simulation: core files

Extending `Distributions.jl` to include Landau Distribution based on CERN ROOT's implementation.

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Errors-in-variables estimation in linear regression using Compact Genetic Algorithms

Metric Gaussian Variational Inference

Signal detection theory measures with Julia

Julia module to fit and analyze stochastic gene transcription models

Massively-parallel exact nearest neighbor search in Julia.

A set of common benchmark functions for testing optimization algorithms in Julia

Engineering Thermodynamics infrastructure in Julia

Package for the Rigorous Computation of Invariant Measures

An optimal power flow tool for perfoming CBA analysis of AC/DC networks

Wrappers for GeometricIntegrators.jl into the SciML common interface for scientific machine learning (SciML)

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Implementation of several algorithms for combinatorial bandits, a kind of reinforcement learning.

Julia implementation of various electron-correlation methods (main focus on coupled cluster methods).

A computational toolbox for level set-based topology optimisation in Julia

Package for different inducing points selection methods

Implementation of a GNSSReceiver

Monotonic cubic interpolation in Julia

Nonnegative Tensor Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning

Alignment and comparison of small molecules read from .sdf files represented as Gaussian Mixture Models.

A wrapper for the Python PyDSTool library for the SciML Scientific Machine Learning organization

Parsers and processing for geoenergy data file formats in Julia.

A julia Bokeh server

Learning sparse Pauli noise using the population recovery algorithm.

Prescribed flow models for testing cloud microphysics schemes.

Prescribed flow models for testing cloud microphysics schemes.

GUIs for playing the game 2048 in Julia

🧄 garlic growth simulation model

Simple extension to Distributions.jl to incorporate interpolated PDFs

Physical vector and particle types for Julia

Controllers for airborne wind energy systems

Automatic Higher Order Differentiation for Generic Julia Functions

NeuralFieldEq.jl: An efficient solver to compute Neural Field Equations in several scenarios

An Open Nonlinear Structural Analysis Solver in Julia

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

Julia package to provide reference European option prices for stochastic volatility models with a known characteristic function, such as the Heston stochastic volatility model.