Automatic probabilistic programming for scientific machine learning and dynamical models

Workshop materials for training in scientific computing and scientific machine learning

Lightweight package to interface with MLJ

Machine Learning in Julia

Truncated singular value decomposition with partial reorthogonalization

Evolve Flux networks from scratch!

A Julia package for training and evaluating multimodal deep Boltzmann machines

Flexible data augmentation library for machine and deep learning

I heard you like compile times

Create ensembles of machine learning models from scikit-learn, caret, and julia

Heterogeneous ensemble learning for Julia.

Simple particle filter implementation in Julia - works with POMDPs.jl models or others.

Differentially private synthetic data

"Maybe we have our own magic."

-

A neural network in Julia

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

Flux's ex AD

A foolproof way of doing ML with GUI elements.

Approximate Bayesian Computation (ABC) algorithms for likelihood free inference in julia

Differentiate python calls from Julia

Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms

Automatic detection of sparsity in pure Julia functions for sparsity-enabled scientific machine learning (SciML)

Use Optim to train Flux models and visualize loss landscapes

Utility package for subsetting, resampling, iteration, and partitioning of various types of data sets in Machine Learning

-

Transformations to contrained variables from ℝⁿ.

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

A Julia library for handling MIDI files

A operator overloading, tape-based, reverse-mode AD

Turing + Makie = Turkie

A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms

Cartesian Genetic Programming for Julia

A parallel iterator for large machine learning datasets that don't fit into memory inspired by PyTorch's `DataLoader` class.

Machine learning kernels in Julia.

Machine learning kernels in Julia.

Home of the MLJ model registry and tools for model queries and mode code loading

Functions and data dependencies for loading various word embeddings (Word2Vec, FastText, GLoVE)

Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)

A Julia package for interpretable machine learning with stochastic Shapley values