Load, format, analyze, and plot the Allen Neuropixels datasets

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A Julia package for simulation, verification and parameter estimation of Biochemical Networks with Approximate Bayesian Computation (ABC) methods.

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Implement mullerlab/generalized-phase in Julia

Noncommutative graphs in Julia

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Experimental augmented Lagrangian package.

Constrained Bayesian optimization implementation in Nonconvex.jl

Graphical interface for BiochemicalAlgorithms.jl

Ipopt wrapper for Nonconvex.jl.

Juniper wrapper in Nonconvex.jl

Julia interface for implementing REST APIs available on the CDSA (Cancer Slide Digital Archive) portal for managing histological images available from TCGA. The library includes functions for managing image processing algorithms for cell segmentation, constructing the adjacency matrix, tessellation process and interfacing with J-Space.jl.

Plotting functions for Plasmo.jl

Multi-start optimization in Nonconvex.jl

NLopt wrapper in Nonconvex.jl.

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

Pavito wrapper in Nonconvex.jl

Percival wrapper in Nonconvex.jl

Multi-trajectory and local search methods in Nonconvex.jl

Pre- and post-processing for the analysis of high-throughput genetic screens using matrix linear models.

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A utility package for the JSMD ecosystem

Generalized Nernst-Planck-Poisson model for liquid electrolytes

Utilities to help testing new groups and actions with Manifolds.jl

Make recurrent layers in Flux much faster

Fast Parzen Windows: a kernel-based method for non-parametric probability density function.

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Lightweight Factored Spectrally Transformed Linear Mixed Models

A Julia package collecting `ℝⁿ → ℝᵐ` functions commonly used for testing nonlinear solvers and optimizers.

Formulates and solves nonogram puzzles (a.k.a. Picross and paint-by-number) in Julia. Uses a new integer linear programming formulation, and solves it with JuMP.

Genomic offset statistics

Generic algorithms for nonsmooth optimisation

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Estimation in a mean field graph

Pakcage for generating normal maps from images using Julia.