YaoLang: The next DSL for Yao and quantum programs.

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

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

Neural Network based models for Natural Language Processing

A turbulence-convection single column model cloud parameterization.

Digital quantum circuit simulator written in Julia

Quantum dynamics simulation environment

Interpretable Machine Learning via Rule Extraction

The implementation of NameResolution.jl for Julia language.

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

Simplicial sets and other combinatorial models of geometric spaces

Pruning framework and methods for Flux

Learning state-space targets in dynamical systems

NuclearToolkit.jl: Julia package for nuclear structure calculations

Neural network training, fast and easy.

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

Implementations of algebraic rewriting techniques like DPO, SPO, SqPO.

A Julia package for computing processes related to plant ecophysiology and biophysics

Your local Flux surgeon

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

Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia

A julia package to either fit the parameters of a specified equivalent electrical circuit to electrochemical impedance data, or to suggest a plausible circuit configuration for a given set of measurements (either through a comparison of circuits from the literature, or through an evolutionary algorithm approach).

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

SeaPearl's pool of examples

Differentiable tree-based models for tabular data

Graphical tools for Bayesian inference and posterior predictive checks

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Provide all functions needed to work with augmented likelihoods (conditionally conjugate with Gaussians)

A package to calibrate atmospheric turbulence and convection parameterizations using gradient-free ensemble Kalman methods

Lazy, structured, and efficient operations with kernel matrices.

Easily optimize generic performance metrics in differentiable learning.

From Semiconductor to TransistorLevel Modeling in Julia

Bayesian inference on wiring diagrams.

Simple, blazing fast, transformer components.

A package for your code to understand scoping rules(including mutability of free variables).

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Static module-like namespaces for julia

Parsers and Tools for OpenQASM

Representing machine learning models using mathematical programming