Import/export ONNX models

A full end-to-end modular software suite for radiative transfer and related atmospheric analysis

I heard you like compile times

Structure Preserving Machine Learning Models in Julia

Incompressible Navier-Stokes solver

Interface package for featurizing atomic structures

Evolve Flux networks from scratch!

A suite of tools for solving Nonlinear Schrodinger equations via higher-order algorithms and Darboux transformations.

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

Comparing performance and results of mcmc options using Julia

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Clima's Land Model

TreeParzen.jl, a pure Julia hyperparameter optimiser with MLJ integration

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.

Generative Models with trainable conditional distributions in Julia!

Julia Toolkit with fairness metrics and bias mitigation algorithms

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

Same-same but different

Neural Network based models for Natural Language Processing

A turbulence-convection single column model cloud parameterization.

A Julia package for interacting with the Hugging Face dataset repository.

Interpretable Machine Learning via Rule Extraction

A Julia toolbox with resampling methods to correct for class imbalance.

Pruning framework and methods for Flux

Learning state-space targets in dynamical systems

Fast operator-overloading Jacobian & Hessian sparsity detection.

Accelerate your ML research using pre-built Deep Learning Models with Lux

Deep Learning made easy and fast

An easy to use Flux implementation of the Kolmogorov Arnold Network. This is a Julia version of TorchKAN.

Julia implementation of Byte Pair Encoding for NLP

Neural network training, fast and easy.

Your local Flux surgeon

Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia

One stop solutions for all things optimization

DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.

Package for Bayesian and classical estimation and inference based on statistics that are filtered through a trained neural net

The Julia implementation of the generalised hierarchical Gaussian filter

Useful Layers for Knet