Neural network training, fast and easy.

An easy to use Flux implementation of the Kolmogorov Arnold Network. This is a Julia version of TorchKAN.

Diagnostics for Oceananigans

Three Dimensional Magnetohydrodynamic(MHD) pseudospectral solvers written in julia with FourierFlows.jl

Simulate quantum systems consisting of many spins interacting via dipole-dipole interaction

A Julia wrapper for the NVIDIA Collective Communications Library.

Julia implementation of Byte Pair Encoding for NLP

Your local Flux surgeon

Flux reconstruction method for advection-diffusion type physics

Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia

One stop solutions for all things optimization

Julia package for general many-body exact diagonalization calculation.

Package for Bayesian and classical estimation and inference based on statistics that are filtered through a trained neural net

Abstraction layer for spanning factor graphs over various technologies

Tools for simulating organism dispersal

DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.

Parallel tools for ITensors.jl.

Differentiable tree-based models for tabular data

Welcome to Peridynamic Laboratory (PeriLab), a powerful software solution designed for tackling Peridynamic problems.

SeaPearl's pool of examples

Useful Layers for Knet

The Julia implementation of the generalised hierarchical Gaussian filter

🎲 Parameter estimation for Oceananigans using EnsembleKalmanProcesses

A tool for visualizing tensor network contractions.

MDToolbox.jl: A Julia package for molecular dynamics trajectories analysis and modeling of biomolecules

A package to calibrate atmospheric turbulence and convection parameterizations using gradient-free ensemble Kalman methods

Lazy, structured, and efficient operations with kernel matrices.

Probabilistic inference using contraction of tensor networks

Easily optimize generic performance metrics in differentiable learning.

General Relativistic Orbital Dynamics in Julia

An multi-platform spiking neural network simulator

A Julia wrapper for cusolverRF

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Useful tools for working with isometric or unitary tensors

GPT-3 as a generative function in Gen.

Memory efficient one-hot array encodings

From Semiconductor to TransistorLevel Modeling in Julia

MeshGraphNets.jl is a software package for the Julia programming language that provides an implementation of the MeshGraphNets framework by Google DeepMind for simulating mesh-based physical systems via graph neural networks.

Simple, blazing fast, transformer components.

DynamicHMC versions of StatisticalRethinking models