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

Generate nice reports from MCMC-based approximations

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

Univariate and multiple comparisons statistical hypothesis testing by data permutation

Advanced process control for AutomationLabs

Fast forward simulations of extragalactic foregrounds

Bayesian quantile regression in Julia

A Julia package for building, and running Biochemical Systems Theory (BST) models

One package to train them all

Monotone Cubic B-Splines (arXiv:2307.01748)

MCMCDebugging.jl: debugging utilities for MCMC samplers

Joint parameter and state inference for state space models using Bayesian techniques

Empirical Bayes shrinkage in Julia

Lightweight module for fusing physical and neural models

A convenient logging tool compatible with https://github.com/SciML/DifferentialEquations.jl

Deep and convolutional neural networks with feedback operations in Flux.

A Julia package containing GNC algorithms for autonomous aerospace systems

Forked successor of https://github.com/JuliaFolds/FoldsThreads.jl

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

Utilities to test implementations of the MLJ model interface and provide integration tests for the MLJ ecosystem

Classification algorithms based on kernel nearest centers

Geostatistical functions for the GeoStats.jl framework

Geospatial transforms for the GeoStats.jl framework

Dynamical systems identification

Geostatistical simulation solvers for the GeoStats.jl framework

Little helpers for neural networks in the Knet ecosystem

Fork of https://github.com/JuliaFolds/MicroCollections.jl

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

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

Simulate Machine Learning-based Business Processes in Julia

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

Invariant Causal Prediction in pure Julia

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Geostatistical processes for the GeoStats.jl framework

Geostatistical estimation solvers for the GeoStats.jl framework

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A Julia package for Generative Topographic Mapping

The plotting package for predefined environments exported from FlightSims.jl

Non-critical functions for SeaPearl