Julia ML Frameworks

🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid...

The Julia Programming Language

Physical Symbolic Optimization

Julia bindings for the Enzyme automatic differentiator

Distributed High-Performance Symbolic Regression in Julia

Relax! Flux is the ML library that doesn't make you tensor

High-Performance Symbolic Regression in Python and Julia

A Julia machine learning framework

Elegant and Performant Deep Learning

21st century AD

Neural Network primitives with multiple backends

A data-driven method combining symbolic regression and compressed sensing...

Documentation and tutorials for the Turing language

Bayesian inference with probabilistic programming.

Utility package for accessing common Machine Learning datasets in Julia

The SciML Scientific Machine Learning Software Organization Website

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

Julia package of loss functions for machine learning.

MDPs and POMDPs in Julia - An interface for defining, solving, and...

Core functionality for the MLJ machine learning framework

Flux Website

ClimaAtmos.jl is an atmosphere model that is designed to leverage data...

Computer vision models for Flux

Julia package for kernel functions for machine learning

A Bayesian Analysis Toolkit in Julia

🌎 Regional-to-global coupled ocean and sea ice simulations based on Oceananigans

Arrays with arbitrarily nested named components.

Bayes-Newton—A Gaussian process library in JAX, with a unifying view of...

Automatic parametric modeling with symbolic regression

An interface to various automatic differentiation backends in Julia.

Julia package for automated Bayesian inference on a factor graph with...

Please do not feed the models

A general-purpose probabilistic programming system with programmable inference

DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network...

Train and sample Restricted Boltzmann machines in Julia

Koç University deep learning framework.

An Introduction to Artificial Intelligence with Julia

A reinforcement learning package for Julia

Matlab and Python toolbox for fast Total Variation proximity operators

Demos for "Linear Algebra for DS, ML, and SP" book

Automatic Differentiation Library for Computational and Mathematical Engineering

Numerical Association Rule Mining in Julia

Proximal algorithms for nonsmooth optimization in Julia

EasyHybrid.jl provides a simple and flexible framework for hybrid modeling,...

Julia package for automatically generating Bayesian inference algorithms...

Symbolic-Numeric Neural DAEs and Universal Differential Equations for...

A Julia wrapper for TensorFlow

Automatic differentiation of implicit functions

A flexible neural net training library inspired by fast.ai

Beta Machine Learning Toolkit

[𝐍𝐚𝐭𝐮𝐫𝐞 𝐂𝐨𝐦𝐩𝐮𝐭𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐒𝐜𝐢𝐞𝐧𝐜𝐞] ⚡️ PSE/PSRN: Fast and efficient symbolic...

Geothermal Cloud for Machine Learning

Julia implementation of Modal Decision Trees & Forests, for interpretable...

A Julia framework for invertible neural networks

Forecasting in Julia

Julia wrapper for the ArrayFire library

Onions have *layers*. Ogres have layers. This *package* has layers.

Implicit Layer Machine Learning via Deep Equilibrium Networks, O(1)...

Julia for Machine Learning course at TU Berlin

DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators,...

Repository of best practices for deep learning in Julia, inspired by fastai

Fit, evaluate, and visualise generalised additive models (GAMs) in native Julia

A Julia package for exponential family principal component analysis (EPCA).

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

Read ONNX graphs in Julia

Differentiable Reacting Flow Modeling Software

Julia port of the Python autograd package.

Machine Learning with Time Series in Julia

Data science and numerical computing with Julia

Compute shaders interface for WGPU from julia

Automated Bayesian model discovery for time series data

"Distributions" that might not add to one.

Manage logical datasets!

Embed trained machine learning predictors into JuMP models

Visualize time series numerical association rules

Analytic neural networks based on Symbolics.jl

Examples of scripts with package Jchemo.jl (Training material)

Introduction to Scientific Programming and Machine Learning with Julia

Betty: an automatic differentiation library for generalized meta-learning...

Probabilistic Programming with Gaussian processes in Julia

Geometric Deep Learning for Flux

Julia on TPUs

Symbolic XAI explainable machine learning & non-linear regression platform for MATLAB

A probabilistic programming language

Tools for chemometrics and machine learning on high-dimensional data (e.g....

Combinatorial optimization layers for machine learning pipelines

Julia package for simulation-based, likelihood-free parameter inference...

A Julia package for Matrix-Product State (MPS)-based time-series analysis.

High-performance Bayesian Data Analysis on the GPU in Clojure

The merlin dataloader lets you rapidly load tabular data for training deep...

Machine learning time series regressions

PotentialLearning.jl: Optimize your atomistic data and interatomic potential...

🎲 Parameter estimation for Oceananigans using EnsembleKalmanProcesses

Differentiable RayTracing in Julia

Reverse-mode automatic differentiation in Julia

Repo that hosts the companion book of Julia for Deep Learning

This is a Python library that implements a Multi-objective Symbolic...

Benchmark problems for decision-focused learning

Statistical modeling using score matching

Symbolic modeling in Julia!

Tools for ML in acoustic PDE control.

Repository that containts climate relevant ML datasets from the Climate...

Deep Learning for Julia

An NLPModels Interface to Knet

Gene Expression Programming for symbolic regression in Julia

The home page of the JuliaML organization

Concise and beautiful algorithms written in Julia

Smart Tensors Tutorials

A Julia package for parameterized convex approximators including...

Official GitHub repository for FLUX.1 Krea [dev].

The unique data management platform for Julia

This open educational course introduces students and professionals to the...

Medically-informed data preprocessing for machine learning

A package for performing Metropolis Hasting Algorithm.

Abstract data structures for the construction of neural networks.

Code to reproduce results in "Reliable amortized variational inference with...

Extremly fast c++/python symbolic regression library based on parallel local search.

Machine Learning Stack for Big Data, Big Cluster and Big Challenges

Sole.jl – Long live transparent modeling!

A high performance I/O library for deep learning in Julia, based on the...

A foolproof way of doing ML with GUI elements.

A system-agnostic approach to Monte Carlo simulations

Bayesian addition to Flux.jl

Generates training data for training ML models. This may seem useless but it...

Repository for the codes in my upcoming book on Machine Learning

Repository for Common Ground C25

The Deep Learning with Julia book, using Flux.jl.

Julia DeepAR implementation

next-generation sky map manipulation on rectangular pixels

Julia implementation for extended convolutional layers

Geostatistical learning solvers for the GeoStats.jl framework

Algorithms and API for solving static quadratic team decision problems

A Julia package for solving POMDPs with belief compression. Part of the...

A Julia package for Cluster Validity Indices (CVIs).

Application of InferOpt.jl to the Stochastic Vehicle Scheduling Problem

Structural Similarity Index Measure loss function for use with AD systems in Julia

Multimodal datasets for Machine-Learning

Code to reproduce results in "Preconditioned training of normalizing flows...

This project contains the CliMA superresolution work using Julia's Flux.jl...

A package for parameter estimation of Linear-Gaussian state-space models,...

A Julia based app with a user interface to create, train and test a deep...

EfficientNet implementation in Julia

Julia package for KF and EKF parameter estimation using Automatic Differentiation

An attempt at implementing a Deep Reinforcement Learning package

MarSwitching.jl: Julia package for Markov switching dynamic models...

Distributed computation of differentiation pipelines to use multiple...

A Julia package for adaptive proximal gradient and primal-dual algorithms

Presentation of the Julia programming language at the April 2020 Hong Kong...

WiSARD Weightless Neural Network (WNN) Model implemented in Julia.

A new lightweight package for Deep Learning with Julia

Sample tokens directly from logit weights

Deep learning 99% fat free

A high-performance Julia library for computing path signatures,...

Repository housing feature selection algorithms for use with the machine...

An implementation of a relevance vector machine, a sparse Bayesian version of a SVM

Eschewing importance Sampling by Computing a History value function to...

This repo contains exploratory code for Bayesian Neural Networks

A general interface and toolkit for working with hierarchical grammar models

[wip] Lightweight Automatic Differentiation & DeepLearning Framework...

A Julia package work with spectral densities of stationary kernels.

Julia package for CPPLS and CPPLS-DA, including cross-validation,...

🔍 Enhance your scientific modeling skills with Julia and SciML through...

Repository of datasets (chemometrics and others) in various formats (JLD2, etc.)

Modern Hopfield layer implementations in Julia

Symbolic regression experiments with PySR for equation discovery.

HorseML.jl is the ML library for JuliaLang.

LearningHorse.jl is the ML library for JuliaLang.

Just a Julia Toolbox for Electrical Impedance Tomography(EIT).

The Juice package for circuits in artificial intelligence, both logic and...

High energy accelerator lattice construction and manipulation

Sparsify Your Flux Models

Network Hawkes processes in Julia.

Built-in solvers for the GeoStats.jl framework

Extended-exponent floating-point numbers

Julia macros for logging to Weights & Biases (wandb.ai).

Julia (Flux) implementation of NBeats

One package to train them all

A Julia artificial neural network library which features high level...

A Julia Package for Bayesian Nonparametric Analysis for Machine Learning

Automatic differential computation framework in Julia.

A simple interface for defining, training, and deploying MDNs.

A Julia package for multiple kernel learning aided two-stage robust optimization.

This is a WIP implementation of Richman & Wüthrich (2022) using Julia's...

A Julia implementation of Deep Image Structure and Texture Similarity (DISTS) metric

Implementation of Sliced Wasserstein distance, SW barycenters and...

🧮 Simplify numerical computations with julia-v0n, a powerful library...

🔧 Build and manage Julia-based projects with ease, enhancing productivity...

Simple ML package that computes gradients without backpropagation

A Julia package for adaptive proximal gradient for convex bilevel optimization

Evidential deep learning in julia

Explaining hierarchical models built in https://github.com/CTUAvastLab/Mill.jl

Julia MMD GAN implementation

Simple flux model thats solves the xor problem.

Simple convolutional neural network written in Julia, whit the help of Flux.jl

Repository for algorithms and functions intended to learn machine learning.

A package for defining lazy views over machine learning datasets.

A port of Probmods.org to Julia using the Gen Probabilistic Programming System.

A Julia-based implementation of the PerformanceRNN

a modest deep-learning framework for julia.