Koç University deep learning framework.

A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.

CUDA programming in Julia.

🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs

A Julia wrapper for TensorFlow

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

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

Library for the numerical simulation of closed as well as open quantum systems.

A Julia library for efficient tensor computations and tensor network calculations

Julia Implementation of Transformer models

Julia package for tensor contractions and related operations

Play atmospheric modelling like it's LEGO.

Molecular simulation in Julia

Geometric Deep Learning for Flux

Computer vision models for Flux

XGBoost Julia Package

DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia

Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.

Utility package for accessing common Machine Learning datasets in Julia

A Julia package for large-scale tensor computations, with a hint of category theory

Tools for building fast, hackable, pseudospectral partial differential equation solvers on periodic domains

Robust robotic localization and mapping, together with NavAbility(TM). Reach out to info@wherewhen.ai for help.

Boosted trees in Julia

Julia hybrid constraint programming solver enhanced by a reinforcement learning driven search.

Causal, Higher-Order, Probabilistic Programming

Geophysical fluid dynamics pseudospectral solvers with Julia and FourierFlows.jl.

A Julia framework for invertible neural networks

A Julia package for strided array views and efficient manipulations thereof

Wrapping deep learning models from the package Flux.jl for use in the MLJ.jl toolbox

Package for Simulation, Tomography and Analysis of Quantum Computers

It slices, it dices, it splices!

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

Fermi quantum chemistry program

A Julia package dedicated to simulating quantum many-body systems using Matrix Product States (MPS)

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

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

A Julia package for the creation, manipulation and analysis of the structure, dynamics and functions of multilayer graphs.

Koma is a Pulseq-compatible framework to efficiently simulate Magnetic Resonance Imaging (MRI) acquisitions. The main focus of this package is to simulate general scenarios that could arise in pulse sequence development.

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Starter kit for legendary models