Bayesian inference with probabilistic programming.

A Julia machine learning framework

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.

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

🌊 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)

Agent-based modeling framework in Julia

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

A framework for applied category theory in the Julia language

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.

An extensible framework for geospatial data science and geostatistical modeling fully written in Julia

Metaprogramming tools for DataFrames

Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.

Julia package for tensor contractions and related operations

Density-functional toolkit

Play atmospheric modelling like it's LEGO.

Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization

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.

Time series toolkit for Julia

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.

AMD GPU (ROCm) programming in Julia

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