3D computer vision library in Julia

A Julia package for numerical computation in quantum information theory

Pure Julia implementations of single-pass object detection neural networks.

A Julia rewrite of Dynare: solving, simulating and estimating DSGE models.

Flexible and performant GEMM kernels in Julia

Fast Fourier transforms of MPI-distributed Julia arrays

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

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

A simple tool for simulating trapped ion systems

Generalized mean-field equations in open quantum systems

Base functionality library for QuantumOptics.jl

Robot Motion Estimate: Tools, Variables, and Factors for SLAM in robotics; also see Caesar.jl.

Distributed Julia arrays using the MPI protocol

Distributed Data Parallel Training of Deep Neural Networks

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

Plotting and interface tools for biology.

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

A workbench for Quantum Chemistry and Quantum Physics in Julia

Ambient Noise Cross-Correlation in Julia

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

A foolproof way of doing ML with GUI elements.

GPU integrations for Dagger.jl

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

Logic Circuits from the Juice library

Neuroimaging (EEG, fMRI, pupil ...) regression analysis in Julia

YOLO Object Detection in Julia

Renamed to Avalon.jl

Julia package for benchmarking a system

No need to train, he's a smooth operator

Julia library for deep reinforcement learning

A full end-to-end modular software suite for radiative transfer and related atmospheric analysis

Fast image quilting simulation solver for the GeoStats.jl framework

Inspecting GPUs with Julia

🌊 🦠 🌿 A fast and flexible modelling environment written in Julia for modelling the coupled interactions between ocean biogeochemistry, carbonate chemistry, and physics

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

Photonic crystals in Julia 🦚

Examples for Bayesian inference using DynamicHMC.jl and related packages.

Julia package for PEPS algorithms