Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

Statistical plotting recipes for Plots.jl

Robust robotic localization and mapping, together with NavAbility(TM). Reach out to info@wherewhen.ai for help.

Implementations of the models from the Statistical Rethinking book with Turing.jl

Convenience meta-package to load essential packages for statistics

A package for Counterfactual Explanations and Algorithmic Recourse in Julia.

Julia library for homological persistence

A package for time series data processing, classification, clustering, and prediction.

Prediction of timeseries using methods of nonlinear dynamics and timeseries analysis

Yet Another XArray-like Julia package

A Julia package for manifold learning and nonlinear dimensionality reduction

A Julia rewrite of Dynare: solving, simulating and estimating DSGE models.

OrbitalTrajectories.jl is a modern orbital trajectory design, optimisation, and analysis library for Julia, providing methods and tools for designing spacecraft orbits and transfers via high-performance simulations of astrodynamical models.

Simulated Method of Moments for Julia

For analysis of microbiome and microbial community data

Population Genetics in Julia

Create ensembles of machine learning models from scikit-learn, caret, and julia

Comparing performance and results of mcmc options using Julia

Diagonalization procedures for Julia (PCA, Whitening, MCA, gMCA, CCA, gCCA, CSP, CSTP, AJD, mAJD)

Julia interface for Reading from the Earth System Datacube

OpenMendel package for haplotyping and imputation

Geothermal Cloud for Machine Learning

Learning Algebraic Varieties from Samples

Package for Bayesian and classical estimation and inference based on statistics that are filtered through a trained neural net

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Graphical tools for Bayesian inference and posterior predictive checks

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

A flexible toolkit for simulation based inference in Julia

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

Neural Signal Analysis

Building and using pyramids for large raster data

Online spike sorting methods in Julia

ADRIA: Adaptive Dynamic Reef Intervention Algorithms. A multi-criteria decision support platform for informing reef restoration and adaptation interventions.

Weighted version of OnlineStats.jl

Better Radial velocities from Stellar Spectroscopy via Machine Learning

Julia API for Intan RHD2000

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

Local anisotropies and nonstationary spatial processes for the GeoStats.jl framework

Julia module to fit and analyze stochastic gene transcription models