A library to perform particle filtering for one parameter in a `ModelWrapper` struct.

Wrappers to differentiate `ModelWrapper` structs, see ModelWrappers.jl.

Multi-trajectory and local search methods in Nonconvex.jl

Constrained Bayesian optimization implementation in Nonconvex.jl

Percival wrapper in Nonconvex.jl

Pavito wrapper in Nonconvex.jl

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

Experimental augmented Lagrangian package.

NLopt wrapper in Nonconvex.jl.

Julia code of CycleGAN based on pytorch implementation

Simple predictive models for tumor growth, and tools to apply them to clinical data

-

Jet transform operators that depend on FFTW.jl, and Wavelets.jl. Part of the COFII framework.

Make recurrent layers in Flux much faster

Multi-start optimization in Nonconvex.jl

BaytesSMC.jl is a library to perform SMC proposal steps on `ModelWrapper` structs, see ModelWrappers.jl. Kernels that are defined in BaytesMCMC.jl and BaytesFilters.jl can be used inside this library.

Pilot library for NLP convolutional nets in Julia

A library to perform particle MCMC proposal steps for parameter in a `ModelWrapper` struct, see [ModelWrappers.jl](https://github.com/paschermayr/ModelWrappers.jl).

DeepForest Impletmentation in Julia

Unfolded convolutional learning for motif discovery

Optimization library for Baytes modules

Juniper wrapper in Nonconvex.jl

Ipopt wrapper for Nonconvex.jl.

Base package that ships symbols and functionality that is relevant to all or multiple packages in the ecosystem

-

Adds support for parallelization for Taija packages.