Differentiable Fluid Dynamics Package
High performance computational platform in Python for the spectral Galerkin method
Generative Adversarial Network (GAN) for physically realistic enrichment of turbulent flow fields
🌊 Framework for studying fluid dynamics with numerical simulations using Python (publish-only mirror). The main repo is hosted on https://foss.heptapod.net (Gitlab fork supporting Mercurial).
A synthetic, isotropic turbulence generator for constant density flows that enforces the discrete divergence-free condition.
Python implementation of Typhoon algorithm: dense estimation of 2D-3D optical flow on wavelet bases.
Multi-fidelity Generative Deep Learning Turbulent Flows
Post processing routines for analysing PTV data.
Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024
ML-based turbulence modeling for astrophysics
Simulation tool that utilises a Fourier domain adaptive optics model to enable rapid Monte Carlo characterisation of free space optical links between the Earth and satellites
Model of propagating blobs in 1D and 2D
📡 🌀 A platform to use speckle patterns to describe atmospheric turbulence
[Journal of Turbulence, DCC 2022] Dimension Reduced Turbulent Flow Data From Deep Vector Quantizers
Python Package for Statistical Analysis of Turbulence Data
Ensemble Synthetic Eddy Method implemented in Python
Automatic calibration of vertical ocean physics in JAX
Applying a Multi-Layer Perceptron Deep Neural Network to predict Lift and Drag performance of airfoils
Python package providing C++ accelerated functions to compute structure functions and two-point correlation functions
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