Differentiable JUlia ICE model

Generation of neutral landscapes in Julia.

Jacobi theta functions and related functions.

Julia package for microstructure imaging

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Fast and backward stable computation of roots of polynomials in Julia

This package offers both traditional benchmark and newly developed Online Portfolio Selection (OPS) algorithms implementation.

N-Point Correlation Functions in Julia

Geospatial filtering algorithms

DelaySSAToolkit.jl: a tool in Julia for stochastic simulation with delays

Box Cox transformation in Julia

Stata's Binscatter for Julia

Common geographic data sets

An Abstract Reasoning Logic Interface

:cloud_with_rain: Multi-moment cloud microphysics toy model

Nonconvex Exterior Point Operator Splitting

Inverted file system for billion-scale ANN search

Training images for geostastical simulation

Linear Regression with errors in both X and Y, correlated or not, confidence intervals and plots.

Examples written with Agents.jl

Distances between N-dimensional images

Interactive examples for different geodynamic problems

Metrics for evaluation of Machine Learning and Deep Learning Models

Community Detection algorithms for LightGraphs

A Julia package for consensus-based optimisation

MPSGE for Julia

FEMBasis contains interpolation routines for finite element function spaces. Given ansatz and coordinates of domain, shape functions are calculated symbolically in a very general way to get efficient code. Shape functions can also be given directly and in that case partial derivatives are calculated automatically.

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Write and balance chemical equations elegantly and efficiently.

A package for computing the FFT with arbitrary floating point numbers

Lrs wrapper module for Julia

Bayesian AB testing experiments.

A Julia client for the JuliaHub platform

A new lightweight package for Deep Learning with Julia

Learning Dynamic Movement Primitives in Julia

Locality-sensitive hashing (LSH) in Julia.

A Julia package for Differential Evolution MCMC

A Julia package for differentiating through expectations with Monte-Carlo estimates

The base package for Optimization.jl, containing the structs and basic functions for it.

Extensible library for finite element programming