A Keras-like experimental Deep Learning framework in Julia 1.6

Approximate Bayesian Computation (ABC) with differential evolution (de) moves and model evidence (Z) estimates.

Calculate regressions and abnormal returns for large return datasets quickly

MLJ.jl interface for JLBoost.jl

1d and 3d models of the atmosphere for the simulation of airborne wind energy systems

-

Takes a power grid case and generates OPF samples by changing the input parameters.

Automatic Jacobian sparsity detection using minimal scalar tracing and autodifferentiation

Make many plots from an iterable

Control for rigid body dynamical systems in maximal coordinates

Processing tools for SeismicJulia project

Julia methods for estimating fieldmaps in MRI

An implementation of the Xi Correlation coefficient and hypothesis test as originally described by Chatterjee (2021).

A package of FlightSims.jl family for ROS2.

Accelerated computation of glacial isostatic adjustment for laterally-variable solid-Earth

Some helper functions to make some group by operations on DataFrames and IndexedTables faster

Passive tracer dynamics pseudospectral solvers with Julia and FourierFlows.jl.

This is a simple MD program.

Non-linear dimensional reduction using SimilaritySearch (ManifoldLearning and UMAP)

Polylogarithm function and related special functions and sequences.

A monolithic Finite Element formulation for the hydroelastic analysis of Very Large Floating Structures

Simple partially ordered sets for Julia

A three-way bridge between ExpressionTreeForge.jl, PartitionedStructures.jl and PartiallySeparableSolvers.jl

Spherical functions of arbitrary float types

COnstraint Based Reconstruction and EXascale Analysis (in Julia)

A Julia package for Spider Monkey Optimization.

A Julia package for parameterized convex approximators including parameterized log-sum-exp (PLSE) network.

-

Standardized regression predictors for use with StatsModels.jl (centered, z-scored, etc.)

-

Multivariate (generalized) scattered data interpolation with symmetric (conditionally) positive definite kernel functions in arbitrary dimension

Adds the common API onto ODEInterface classic Fortran methods for the SciML Scientific Machine Learning organization

NUMA tools (from libnuma) for Julia

Lightweight module of physical formulations in Kinetic.jl

Implements the Neural Quantum State algorithm for Julia.

Fault study formulations for PowerModels and PowerModelsDistribution

Create cohorts from databases utilizing the OMOP CDM

Chemometrics Data Respository, Scraper, and Fetcher.

A SciML symbolic-numeric compiler tool for investigating functions in order to perform optimizations

A Julia/JuMP Package for N-k Contingency Analysis in Power Systems