A new lightweight package for Deep Learning with Julia

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Ecosystem for writing partial differential equation solvers

Julia interface to GAlgebra via PyCall

The base package for Optimization.jl, containing the structs and basic functions for it.

FEMBasis contains interpolation routines for finite element function spaces. Given ansatz and coordinates of domain, shape functions are calculated symbolically in a very general way to get efficient code. Shape functions can also be given directly and in that case partial derivatives are calculated automatically.

A Julia package for differentiating through expectations with Monte-Carlo estimates

Perform Model Checking and POMDP Planning from LTL specifications using POMDPs.jl

Community Detection algorithms for LightGraphs

One query to rule them all

A HTTP framework

Yet another Julia wraper for OpenAi gym

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Lrs wrapper module for Julia

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Generate audiory stimuli

Julia GARCH package

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A Julia package for Interpretable Compositional Networks (ICN), a variant of neural networks, allowing the user to get interpretable results, unlike regular artificial neural networks.

Experimental features for Flux.jl

A Julia package for estimating phylogenetic networks from genomic data

High dimensional numbers and reductions recipes for data visualization of scientific machine learning (SciML)

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Orbital dynamics and waveforms for binary black-hole systems, in the post-Newtonian approximation

Parsing and generation of 3D geometries for robot mechanisms in Julia

Julia implementation of elliptical slice sampling.

Local polynomial regression in pure Julia

An easy to use Julia framework for agent based modeling.

Julia package for finding the longest simple path in a graph.

A Julia wrapper for the Concorde TSP Solver.

Library that handles atom structures as XYZ files and properties derived from it.

Julia package for performing rigorous arithmetic of Imprecise Probabilities with fuzzy numbers

A Julia library of positivity-preserving time integration methods

A flexible Julia toolkit for high-dimensional cellular profiles

Few special functions in Julia. Includes Clausen function, Coulomb wave functions, Debye function, Fresnel functions, Struve function, Hypergeometric functions, Confluent hypergeometric functions, Fermi-Dirac

A Julia package to support forward-mode auto-differentiation for fast transforms

Portfolio optimization

Julia client for connecting to FHIR (Fast Healthcare Interoperability Resources) servers and building SMART on FHIR applications

Is there anything we can't make Bayesian?