Implementations of the models from the Statistical Rethinking book with Turing.jl

Optimally tuned ridge regression when features can be partitioned into groups.

Memory efficient one-hot array encodings

Julia package for microstructure imaging

Neural Network primitives with multiple backends

Compute solar radiation and generate sky domes for VPL

The Virtual Plant Laboratory

Ray tracing of 3D meshes (not for visualization)

Visualization of 3D meshes

Differentiable RayTracing in Julia

Differentiable rasterisation of point clouds in julia

TrixiParticles.jl: Particle-based multiphysics simulations in Julia

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

Interpretable Machine Learning via Rule Extraction

Bayesian Safety Signal Detection in Julia

High level functions for analyzing the output of simulations

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

A Julia wrapper for TensorFlow

Flux's ex AD

Parameter estimation under uncertainty.

Simple predictive models for tumor growth, and tools to apply them to clinical data

Character level tokenizers for sequence data

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Statistical Inference to DEtermine KICKS on compact objects

Neural network training, fast and easy.

Optimal experimental design of ODE and DAE systems in julia

Computational models of algorithmic competition

Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning

Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.

Explores representations based on bag words

Julia Package for Active Inference

Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.

Train a spiking recurrent neural network

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

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

An adapter package that implements Lighthouse's framework interface for Flux

Differentiable JUlia ICE model

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

A Julia package for parameterized convex approximators including parameterized log-sum-exp (PLSE) network.