DuckDB is an analytical in-process SQL database management system

🎈 Simple reactive notebooks for Julia

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

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

Julia kernel for Jupyter

Interactive data visualizations and plotting in Julia

🧞The highly productive Julia web framework

Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)

Bayesian inference with probabilistic programming.

Crafty statistical graphics for Julia.

Powerful convenience for Julia visualizations and data analysis

A general-purpose probabilistic programming system with programmable inference

A Julia machine learning framework

In-memory tabular data in Julia

21st century AD

Package to call Python functions from the Julia language

Koç University deep learning framework.

Unicode-based scientific plotting for working in the terminal

Compile your Julia Package

An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

Symbolic programming for the next generation of numerical software

Concise and beautiful algorithms written in Julia

Deep Learning framework for Julia

BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors

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

CUDA programming in Julia.

Automatically update function definitions in a running Julia session

Optimization functions for Julia

A Julia package for probability distributions and associated functions.

Bootstrap components for Plotly Dash

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

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

(yet another) static site generator. Simple, customisable, fast, maths with KaTeX, code evaluation, optional pre-rendering, in Julia.

(yet another) static site generator. Simple, customisable, fast, maths with KaTeX, code evaluation, optional pre-rendering, in Julia.

Extensible, Efficient Quantum Algorithm Design for Humans.

Forward Mode Automatic Differentiation for Julia

A Julia wrapper for TensorFlow

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

Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods