Tools to generate and study moment equations for any chemical reaction network using various moment closure approximations

Julia library for deep reinforcement learning

Import/export ONNX models

A toolbox meant for aircraft design analyses.

A toolbox meant for aircraft design analyses.

Provides likelihood functions for Gaussian Processes.

No need to train, he's a smooth operator

I heard you like compile times

Interface package for featurizing atomic structures

Evolve Flux networks from scratch!

A Petri net modeling framework for the Julia programming language

Methods for computational information geometry

SBML differential equation and chemical reaction model (Gillespie simulations) for Julia's SciML ModelingToolkit

Julia package for quantum circuit simulation using tensor networks

Effortless Bayesian Deep Learning through Laplace Approximation for Flux.jl neural networks.

Comparing performance and results of mcmc options using Julia

Clima's Land Model

Detect and track blobs in video

The ideal tool for exploring global marine biogeochemical cycles.

Quantum Toolbox in Julia

An efficient Julia framwork for Hierarchical Equations of Motion (HEOM) in open quantum systems

Approximations for Gaussian processes: sparse variational inducing point approximations, Laplace approximation, ...

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High-level model-order reduction to automate the acceleration of large-scale simulations

An interface for accelerated simulation of high-dimensional collisionless and electrostatic plasmas.

Create parameter estimation problems for ODE models

A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.

A time domain electrical energy grid modeling and simulation tool with a focus on the control of power electronics converters

Same-same but different

Common hyperparameter scheduling for ML

Generative Models with trainable conditional distributions in Julia!

Fast approximate high-dimensional hierarchical Bayesian inference

Quantum dynamics simulation environment

Simulation of simple controls problems in Julia

A full stack simulator of quantum hardware, from the low-level analog physics to high-level network dynamics. Includes discrete event simulator, symbolic representation for quantum object, and works with many backend simulators.

Bayesian Linear Regression in Julia

Solvers for steady states in scientific machine learning (SciML)

A turbulence-convection single column model cloud parameterization.

DPFEHM: A Differentiable Subsurface Flow Simulator

Differentiable matrix factorizations using ImplicitDifferentiation.jl.