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

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

Tools to pick data in an interactive manner

Combustion Analysis Package

Dynamical systems identification

Advanced process control for AutomationLabs

Complexity estimation library

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Differential Inequality Algorithms for Parametric ODEs

Deep and convolutional neural networks with feedback operations in Flux.

A Julia package containing GNC algorithms for autonomous aerospace systems

Geostatistical learning solvers for the GeoStats.jl framework

Geostatistical functions for the GeoStats.jl framework

Geospatial transforms for the GeoStats.jl framework

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

MCMCDebugging.jl: debugging utilities for MCMC samplers

One package to train them all

Monotone Cubic B-Splines (arXiv:2307.01748)

All the interface functions and structs of Nonconvex.jl.

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

Power spectrum inference of irregularly sampled time series using Gaussian Processes in Julia

Everything 3D for plants 🌱

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

Lightweight module for fusing physical and neural models

Julia package for Light Based Tomographic Volumetric Additive Manufacturing.

Switched-On Bayes.

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Operator pack for Jets.jl. Part of the COFII framework.

Julia implementation of maximum entropy graph models

Inverse distance estimation solver for the GeoStats.jl framework

Wrapper of Metaheuristics.jl using the Nonconvex.jl API.

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

A collection of background subtraction algorithms for spectroscopic data

Non-critical functions for SeaPearl

Geostatistical estimation solvers for the GeoStats.jl framework

Geostatistical processes for the GeoStats.jl framework

Fit experimental data to a variety of sinusoidal models

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

Developer tools for the GeoStats.jl framework

Artifacts for Geospatial Data Science