Macros to define custom adjoints for TensorOperations.jl

Adversarial attacks for Neural Networks written with FluxML

Model the propagation of VLF radio waves in the Earth-ionosphere waveguide.

Coloring algorithms for sparse Jacobian and Hessian matrices

SossMLJ makes it easy to build MLJ machines from user-defined models from the Soss probabilistic programming language

Simple, blazing fast, message-passing graph neural network.

DelaySSAToolkit.jl: a tool in Julia for stochastic simulation with delays

Package that provides a integrated Julia workflow for molecular dyanmics simulations.

🧬 Tools for Quadratic Unconstrained Binary Optimization models in Julia

-

-

Training images for geostastical simulation

Package to simulate the thermal evolution of magmatic systems

Solver for 1D nonlinear partial differential equations in Julia based on the collocation method of Skeel and Berzins and providing an API similar to MATLAB's pdepe

Julia package for visualising genomic data

Nevanlinna analytic continuation

Nonconvex Exterior Point Operator Splitting

A flexible toolkit for simulation based inference in Julia

MPS and MPO methods based on ITensor (ITensors.jl)

Simple Julia Lattice Boltzmann Solver for Thin Liquid Films and Droplets, approximating the thin film equation.

-

Measures (metrics) for statistics and machine learning

The base package for Optimization.jl, containing the structs and basic functions for it.

🧊 Coupled and stand-alone simulations of sea ice for Earth system modeling

Reduced basis methods for parametrised eigenproblems

Propagate waves efficiently, optically, physically, differentiably with Julia Lang.

Learning Dynamic Movement Primitives in Julia

-

Structure-preserving numerical methods for dispersive shallow water models

Lrs wrapper module for Julia

Interactive examples for different geodynamic problems

Modern Hopfield layer implementations in Julia

Train a spiking recurrent neural network

Julia implementation of the bond graph framework

A new lightweight package for Deep Learning with Julia

Ecosystem for writing partial differential equation solvers

A differentiable parametrization of a group of unitary matrices.

CUDA integration for the NNlib API

Trust region methods for nonlinear systems of equations in Julia.

-