Julia ML Frameworks

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

Physical Symbolic Optimization

The Julia Programming Language

Julia bindings for the Enzyme automatic differentiator

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

Distributed High-Performance Symbolic Regression in Julia

High-Performance Symbolic Regression in Python and Julia

Elegant and Performant Deep Learning

A Julia machine learning framework

Neural Network primitives with multiple backends

Documentation and tutorials for the Turing language

Bayesian inference with probabilistic programming.

21st century AD

The SciML Scientific Machine Learning Software Organization Website

Utility package for accessing common Machine Learning datasets in Julia

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

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

Julia package of loss functions for machine learning.

Computer vision models for Flux

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

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

A Bayesian Analysis Toolkit in Julia

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

Core functionality for the MLJ machine learning framework

Julia package for kernel functions for machine learning

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

Arrays with arbitrarily nested named components.

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

Automatic parametric modeling with symbolic regression

A general-purpose probabilistic programming system with programmable inference

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

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

Koç University deep learning framework.

Flux Website

Automatic differentiation of implicit functions

Julia for Machine Learning course at TU Berlin

A reinforcement learning package for Julia

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

Forecasting in Julia

Matlab and Python toolbox for fast Total Variation proximity operators

Automatic Differentiation Library for Computational and Mathematical Engineering

Proximal algorithms for nonsmooth optimization in Julia

Julia package for automatically generating Bayesian inference algorithms...

Beta Machine Learning Toolkit

A Julia wrapper for TensorFlow

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

A flexible neural net training library inspired by fast.ai

Geothermal Cloud for Machine Learning

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

Julia wrapper for the ArrayFire library

A Julia framework for invertible neural networks

Read ONNX graphs in Julia

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

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

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

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

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

Train and sample Restricted Boltzmann machines in Julia

Differentiable Reacting Flow Modeling Software

Data science and numerical computing with Julia

Julia port of the Python autograd package.

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

Automated Bayesian model discovery for time series data

"Distributions" that might not add to one.

Embed trained machine learning predictors into JuMP models

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

An Introduction to Artificial Intelligence with Julia

Numerical Association Rule Mining in Julia

Geometric Deep Learning for Flux

Probabilistic Programming with Gaussian processes in Julia

Introduction to Scientific Programming and Machine Learning with Julia

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

Julia on TPUs

A probabilistic programming language

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

Combinatorial optimization layers for machine learning pipelines

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

High-performance Bayesian Data Analysis on the GPU in Clojure

Differentiable RayTracing in Julia

Reverse-mode automatic differentiation in Julia

Manage logical datasets!

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

Compute shaders interface for WGPU from julia

Sole.jl – Long live transparent modeling!

A system-agnostic approach to Monte Carlo simulations

Machine Learning with Time Series in Julia

Deep Learning for Julia

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

Visualize time series numerical association rules

Concise and beautiful algorithms written in Julia

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

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

Analytic neural networks based on Symbolics.jl

Gene Expression Programming for symbolic regression in Julia

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

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

A foolproof way of doing ML with GUI elements.

Symbolic modeling in Julia!

Benchmark problems for decision-focused learning

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

Repository for Common Ground C25

A Julia package for parameterized convex approximators including...

Machine learning time series regressions

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

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

Repo that hosts the companion book of Julia for Deep Learning

🎲 Parameter estimation for Oceananigans using EnsembleKalmanProcesses

Statistical modeling using score matching

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

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

Tools for ML in acoustic PDE control.

An NLPModels Interface to Knet

Smart Tensors Tutorials

Distributed computation of differentiation pipelines to use multiple...

The home page of the JuliaML organization

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

The unique data management platform for Julia

Medically-informed data preprocessing for machine learning

Deep learning 99% fat free

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

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

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

Bayesian addition to Flux.jl

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

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

A package for performing Metropolis Hasting Algorithm.

Abstract data structures for the construction of neural networks.

Julia DeepAR implementation

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

Repository for the codes in my upcoming book on Machine Learning

An attempt at implementing a Deep Reinforcement Learning package

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

Algorithms and API for solving static quadratic team decision problems

Geostatistical learning solvers for the GeoStats.jl framework

Julia implementation for extended convolutional layers

next-generation sky map manipulation on rectangular pixels

Multimodal datasets for Machine-Learning

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

Application of InferOpt.jl to the Stochastic Vehicle Scheduling Problem

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

A Julia package for Cluster Validity Indices (CVIs).

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

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

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

Sample tokens directly from logit weights

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

Julia package for KF and EKF parameter estimation using Automatic Differentiation

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

Symbolic regression experiments with PySR for equation discovery.

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

This repo contains exploratory code for Bayesian Neural Networks

🔍 Search, monitor, and manage system processes simply while tracking...

EfficientNet implementation in Julia

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

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

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

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

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

A general interface and toolkit for working with hierarchical grammar models

A Julia package work with spectral densities of stationary kernels.

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

Modern Hopfield layer implementations in Julia

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

🚀 Simplify data conversion from H2 databases to Julia, enhancing your data...

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

HorseML.jl is the ML library for JuliaLang.

LearningHorse.jl is the ML library for JuliaLang.

High energy accelerator lattice construction and manipulation

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

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

Sparsify Your Flux Models

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

Network Hawkes processes in Julia.

Extended-exponent floating-point numbers

Built-in solvers for the GeoStats.jl framework

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

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

One package to train them all

A Julia Package for Bayesian Nonparametric Analysis for Machine Learning

Julia (Flux) implementation of NBeats

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

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

Automatic differential computation framework in Julia.

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