A Julia package for robust neural networks.

Generic UNet implementation written in pure Julia, based on Flux.jl

E.T. Jaynes home phone.

Machine learning with Mill.jl for JSON documents

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Renamed to Avalon.jl

No need to train, he's a smooth operator

Julia library for deep reinforcement learning

Import/export ONNX models

I heard you like compile times

Structure Preserving Machine Learning Models in Julia

Unitful coordinate reference systems for geographic maps in Julia

Interface package for featurizing atomic structures

Evolve Flux networks from scratch!

Methods for computational information geometry

Effortless Bayesian Deep Learning through Laplace Approximation for Flux.jl neural networks.

Julia package for PEPS algorithms

Comparing performance and results of mcmc options using Julia

Clima's Land Model

The ideal tool for exploring global marine biogeochemical cycles.

An interface for accelerated simulation of high-dimensional collisionless and electrostatic plasmas.

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Create parameter estimation problems for ODE models

A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.

Variational quantum circuit simulator in Julia, under GPLv3

Unitful and differentiable gravitational N-body simulation code in Julia

A time domain electrical energy grid modeling and simulation tool with a focus on the control of power electronics converters

Generative Models with trainable conditional distributions in Julia!

Auto differentiation over linear algebras (a Zygote extension)

DPFEHM: A Differentiable Subsurface Flow Simulator

A turbulence-convection single column model cloud parameterization.

Neural Network based models for Natural Language Processing

Octofitter is a Julia package for performing Bayesian inference against direct images of exoplanets, relative astrometry, and astrometric acceleration of the host star.

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A unified interface for simulating and evaluating sequential sampling models in Julia.

ParameterEstimation.jl is a Julia package for estimating parameters and initial conditions of ODE models given measurement data.

Pruning framework and methods for Flux

Learning state-space targets in dynamical systems

Base package for the GeoStats.jl framework

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