ClimaAtmos.jl is a library for building atmospheric circulation models that is designed from the outset to leverage data assimilation and machine learning tools. We welcome contributions!

Implementation of variational Bayes inference algorithms

Compiled parser combinators and regular expressions in pure julia

Simple least squares and curve fitting functions

A simple domain-specific language (DSL) for defining differential equations for use in scientific machine learning (SciML) and other applications

A julia package for representing and manipulating model semantics

A Julia interface to the Artelys Knitro solver

Solid state detector field and charge drift simulation in Julia

🧬High-performance genetics- and genomics-related data visualization using Makie.jl

A simple shared suite of common derivative definitions

A parallel iterator for large machine learning datasets that don't fit into memory inspired by PyTorch's `DataLoader` class.

Julia package for formulating and analyzing stochastic recourse models.

WIP successor to Soss.jl

Preheat your MCMC

Provides a modeling interface for mixed complementarity problems (MCP) and math programs with equilibrium problems (MPEC) via JuMP

Core types for regularly-sampled multichannel signals like Audio, RADAR and Software-Defined Radio

JuliaCon. Everywhere.

Flexible filtering and smoothing in Julia

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A package for solving Differential Dynamic Programming and trajectory optimization problems.

Modeling and Simulation of 3D systems

A Julia package to analyze protein sequences, structures, and evolutionary information

A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations

⚡ Lightning fast density estimation in Julia ⚡

Find peaks (local extrema) of signals

Efficiently solving instances of a parameterized family of (possibly mixed-integer) linear/quadratic optimization problems in Julia

Survival analysis in Julia

Build Petri net models compositionally

Distributed table structures and data manipulation operations built on top of Dagger.jl

A Julia package for describing domains as continuous sets of elements

A Julia package for representing infinite-dimensional arrays

Julia-powered dashboards, inspired by Material Design

Structured optimization in Julia

Implementation of the Deep Q-learning algorithm to solve MDPs

Simulation, visualization, and inference of individual level infectious disease models with Julia

The amazing Reaction Mechanism Simulator for simulating large chemical kinetic mechanisms

Clique recycling non-Gaussian (multi-modal) factor graph solver; also see Caesar.jl.

Julia toolkit for open quantum system simulation.

A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs without the curse of dimensionality

Bayesian Generalized Linear models using `@formula` syntax.