A Julia package for people that love to learn new things about constraints

Data-driven models for extremely precise radial velocity (EPRV) spectra

Point patterns for the GeoStats.jl framework

Subspace Inference package for uncertainty analysis in deep neural networks and neural ordinary differential equations using Julia

Geospatial transforms for the GeoStats.jl framework

Integrate deep neural network and reverse mode automatic differentiation into Gauss process, have fun !

Geostatistical functions for the GeoStats.jl framework

Geostatistical learning solvers for the GeoStats.jl framework

Tools to pick data in an interactive manner

One package to train them all

Monotone Cubic B-Splines (arXiv:2307.01748)

A Julia package containing GNC algorithms for autonomous aerospace systems

Deep and convolutional neural networks with feedback operations in Flux.

Differential Inequality Algorithms for Parametric ODEs

All the interface functions and structs of Nonconvex.jl.

An implementation of the TOBS algorithm as a heuristic for binary nonlinear programming

Everything 3D for plants 🌱

A Julia package to provide RML imaging methods for high-resolution radio interferometry

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Lightweight module for fusing physical and neural models

Bitstream computing got you a bit sad? Just use BitSAD!

Complexity estimation library

Julia package for Light Based Tomographic Volumetric Additive Manufacturing.

Switched-On Bayes.

Advanced process control for AutomationLabs

Dynamical systems identification

Combustion Analysis Package

Fit experimental data to a variety of sinusoidal models

Geostatistical estimation solvers for the GeoStats.jl framework

Computational models of algorithmic competition

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Geostatistical simulation solvers for the GeoStats.jl framework

Developer tools for the GeoStats.jl framework

Julia implementation of maximum entropy graph models

Non-critical functions for SeaPearl

A collection of background subtraction algorithms for spectroscopic data

Artifacts for Geospatial Data Science

(Experimental) Predicting hand assignments in piano MIDI using neural networks

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