Bayesian optimal design of experiments in Julia. Note: This is just a mirror of the main branch for the Julia General registry. Development happens at sourcehut. Please report any issues over there.

Trigger Package for AMDGPU Support in Lux.jl

Fast `StatsBase.countmap` for small types on the GPU via CUDA.jl

The plotting package for predefined environments exported from FlightSims.jl

A Julia interface to popular python packages for decoding quantum error correcting codes.

Julia interface to FOOOF (https://github.com/fooof-tools/fooof)

Calculate measures for Discriminative Lexicon models developed with JudiLing.

The CAP and homalg projects compatibility package for Julia

JUDI parallelism with Azure batch

Geostatistical processes for the GeoStats.jl framework

Tools for the computation of canopy optical parameters

A Julia implementation of several tools for solving school-choice problems and computing equilibria in nonatomic school-choice markets.

Backend-agnostic differentiation with symbolic pass-through in Julia.

Computational models of algorithmic competition

Simulate Machine Learning-based Business Processes in Julia

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Julia package for CT images reconstruction and analysis

Scalable and distributed matrix-free abstractions for machine learning and scientific computing

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2d/3d rigid body dynamics solver

Benchmark BLAS libraries on GPUs

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Inverse distance estimation solver for the GeoStats.jl framework

Julia implementation of maximum entropy graph models

Invariant Causal Prediction in pure Julia

A Julia package for computing q-deformed Wigner Symbols and related quantities.

A toolbox for the McCabe-Thiele method for Julia

Yet another Quantum simulator

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Julia package to send REST API requests to Google Earth Engine

Scattering and inverse scattering for the AKNS system

Basic functionality for EarthSciML system

A Julia package for the ACT-R cognitive architecture

Graphical/statistical plotting GUI package for quick data visualisation and exploration.

Support for orthogonal polynomial-based spaces in ApproxFun

Set of CUDA accelerated medical segmentation metrics.

A Julia package for fusing broadcast expressions into optimized kernels

🚀 Keep an updated export of every notebook you edit for quick viewing and publishing!

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[WIP] Random Fourier Feature approximations for KernelFunctions.jl