🧞The highly productive Julia web framework

A Julia machine learning framework

A Julia wrapper for TensorFlow

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

Agent-based modeling framework in Julia

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

Repository of best practices for deep learning in Julia, inspired by fastai

Meta-package for data analysis in Julia, modeled after the R tidyverse.

Utility library for working with CSV and other delimited files in the Julia programming language

Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

Geometric Deep Learning for Flux

The reactive UI library for interactive data applications with pure Julia.

Data structures in Julia to enable power systems analysis. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.

Julia for optimization simulation and modeling of PowerSystems. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.

Julia bindings to Vega-Lite

GenX: a configurable power system capacity expansion model for studying low-carbon energy futures. More details at : https://genx.mit.edu

DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia

Utility package for accessing common Machine Learning datasets in Julia

Algorithms inspired by graph Laplacians: linear equation solvers, sparsification, clustering, optimization, etc.

Stan.jl illustrates the usage of the 'single method' packages, e.g. StanSample, StanOptimize, etc.

Clapeyron provides a framework for the development and use of fluid-thermodynamic models, including SAFT, cubic, activity, multi-parameter, and COSMO-SAC.

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

Julia package to run Dynamic Power System simulations. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.

Julia hybrid constraint programming solver enhanced by a reinforcement learning driven search.

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

Julia package for loading many of the data sets available in R

A Julia package for statistical inference, data manipulation and visualization of phylogenetic networks

A meta package for data science in julia

Time series market data

A Julia/JuMP Package for Unbalanced Power Network Optimization

Convenience meta-package to load essential packages for statistics

Julia wrapper for the Voyager data exploration tool

Technical analysis of financial time series in Julia

Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.

Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning

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Climate science package for Julia

Julia library for homological persistence

Evaluating Robustness of Neural Networks with Mixed Integer Programming