E.T. Jaynes home phone.

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Import/export ONNX models

No need to train, he's a smooth operator

Julia library for deep reinforcement learning

Structure Preserving Machine Learning Models in Julia

Unitful coordinate reference systems for geographic maps in Julia

I heard you like compile times

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.

Comparing performance and results of mcmc options using Julia

Julia package for PEPS algorithms

Clima's Land Model

Approximations for Gaussian processes: sparse variational inducing point approximations, Laplace approximation, ...

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

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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!

Same-same but different

A turbulence-convection single column model cloud parameterization.

Neural Network based models for Natural Language Processing

DPFEHM: A Differentiable Subsurface Flow Simulator

Bayesian Linear Regression in Julia

Auto differentiation over linear algebras (a Zygote extension)

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

TensorOperations.jl compatible fast contractor for Julia, based on TBLIS, with generic strides and automatic differentiation support, within 400 lines.

Pruning framework and methods for Flux

Learning state-space targets in dynamical systems

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

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

Base package for the GeoStats.jl framework

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Three-dimensional panel method for low-speed aerodynamics

Geospatial tables compatible with the GeoStats.jl framework

Neural network training, fast and easy.