In-memory tabular data in Julia

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

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

Parallel analytical database in pure Julia

Agent-based modeling framework in Julia

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

Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/

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

Meta-package for data analysis in Julia, modeled after the R tidyverse.

Metaprogramming tools for DataFrames

Utility library for working with CSV and other delimited files in the Julia programming language

Julia package for tensor contractions and related operations

Play atmospheric modelling like it's LEGO.

Combine ingredients for a plot

A Julia package for fitting (statistical) mixed-effects models

Molecular simulation in Julia

Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

Geometric Deep Learning for Flux

Computer vision models for Flux

Modeling and simulation of multidomain engineering systems

Call R from Julia

Data structures in Julia to enable power systems analysis. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.

XGBoost Julia Package

Julia for optimization simulation and modeling of PowerSystems. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.

Create books with Julia

GenX: a configurable power system capacity expansion model for studying low-carbon energy futures. More details at : https://genx.mit.edu

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

Fast Estimation of Linear Models with IV and High Dimensional Categorical Variables

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

Bayesian Networks for Julia