Koç University deep learning framework.

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

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

A Julia wrapper for TensorFlow

Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

Julia Animations and Visualizations

The perfect sidekick to your scientific inquiries

Agent-based modeling framework in Julia

Grid-based approximation of partial differential equations in Julia

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

Climate Machine: an Earth System Model that automatically learns from data

Play atmospheric modelling like it's LEGO.

Binary Dependency Builder for Julia

Geometric Deep Learning for Flux

Computer vision models for Flux

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

Julia package for automated Bayesian inference on a factor graph with reactive message passing

Utility package for accessing common Machine Learning datasets in Julia

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

Solution of nonlinear multiphysics partial differential equation systems using the Voronoi finite volume method

Branch-and-Price-and-Cut in Julia

Causal inference, graphical models and structure learning in Julia

This library uses the LaTeX package pgfplots to produce plots.

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

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

Differentiable RayTracing in Julia

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

A native Julia code for lattice QCD with dynamical fermions in 4 dimension.

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

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

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

Perceptually Uniform Colour Maps for Julia

Causal.jl - A modeling and simulation framework adopting causal modeling approach.

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.

Probabilistic Circuits from the Juice library

Parallel distributed-memory version of Gridap

Fast contact-implicit model predictive control for robotic systems that make and break contact with their environments.

MADS: Model Analysis & Decision Support

Large scale Gaussian Mixture Models