A Power Flow Solver for GPUs in Julia

Functions to compute omnidirectional landscape connectivity using circuit theory and the Omniscape algorithm.

Data-parallelism on CUDA using Transducers.jl and for loops (FLoops.jl)

Plotting and interface tools for biology.

Distributed Data Parallel Training of Deep Neural Networks

Julia interface to AMD/Radeon GPUs

Differentiable trajectory optimization in Julia.

FMIFlux.jl is a free-to-use software library for the Julia programming language, which offers the ability to place FMUs (fmi-standard.org) everywhere inside of your ML topologies and still keep the resulting model trainable with a standard (or custom) FluxML training process.

A static method overlay and optimization tool with configurable code generation and execution.

Robust and optimal design and analysis of linear control systems

A package with general tools for working with higher-dimensional tensor networks based on ITensor.

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Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks

Definition of dynamical systems and integrators for DynamicalSystems.jl

A Julia package for solving nonlinear differential equations using the harmonic balance method.

Implementation of a Augmented Lagrangian method

Ambient Noise Cross-Correlation in Julia

Time dependent variational principle (TDVP) of MPS based on ITensors.jl.

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The automatically differentiable and GPU-compatible toolkit for CMB analysis.

A workbench for Quantum Chemistry and Quantum Physics in Julia

Checkpointing for Automatic Differentiation

A foolproof way of doing ML with GUI elements.

Trajectory Optimization for Robot Arms

Frequency domain, multi-tone harmonic balance, simulation of scattering parameters and noise in nonlinear circuits containing Josephson junctions.

GPU integrations for Dagger.jl

An experimental package for loading and saving object in Python Pickle format.

A few preconditioners for iterative solvers.

An algebraic modeling and automatic differentiation tool in Julia Language, specialized for SIMD abstraction of nonlinear programs.

Logic Circuits from the Juice library

Implicit Layer Machine Learning via Deep Equilibrium Networks, O(1) backpropagation with accelerated convergence.

Julia Framework for Quantum Dynamics and Control

C-code generation and an interface between ControlSystems.jl and SymPy.jl

Finds relationships between the parameters of a mathematical model

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A library for building differential equations arising from physical problems for physics-informed and scientific machine learning (SciML)

Julia interface to the NOMAD blackbox optimization software

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Benchmarking, testing, and development tools for differential equations and scientific machine learning (SciML)