Julia kernel for Jupyter

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

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

Binary Dependency Builder for Julia

Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R

Julia package registration bot

Julia package for deploying APIs

MADS: Model Analysis & Decision Support

Global glacier model using Universal Differential Equations for climate-glacier interactions

Automated Bayesian model discovery for time series data

Julia scripting OpenModelica interface

Examples of how to use the modeling capabilities developed under the Scalable Integrated Infrastructure Planning Initiative at NREL.

Spectra.jl aims at helping treatment of spectral (Raman, Infrared, XAS, NMR) data under the Julia language

Plots made Simple 📉

Quantum Optimal Control with Direct Collocation

Julia package to monitor various Software Defined Radios in a common API

Geothermal Cloud for Machine Learning

A convenience meta-package for quantum optimal control using the Pade Integrator COllocation (PICO) method

A Julia package that implements a category of reaction (transportation) network-type dynamical systems.

Julia interface to JuliaInXL addin

Nonnegative Matrix Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning

A middleware for RPC and Pub/Sub communication styles

Screen eavesdrop in real time leveraging SDR and pure Julia implementation !

Develop tools for ensemble Kalman filter

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Nonnegative Tensor Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning

Causal Inference using Gaussian Processes with Structured Latent Confounders. Estimate treatment effects with Gaussian processes.

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MOdelica Scripting Tools - scripts that help to interact with modelica models through OMJulia and OMPython

A simple package to automatically format Jupyter Notebook and Jupyter Lab cells using JuliaFormatter.

Call Julia functions from LabVIEW using ZMQ

StableSpectralElements.jl: Provably stable discontinuous spectral-element methods for conservation laws

Enable passing of arguments to Julia Jupyter Notebooks from the command line.

Univariate density estimation via Bernstein polynomials; able to model explicit combinatorial shape constraints.

Physics-informed Machine Learning

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Invariant Causal Prediction in pure Julia

Helps manage computational experiments in Julia Jupyter notebooks

A macro to play a bell after running a command in a Jupyter notebook.

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