Laminar flow prediction using graph neural networks

1 min voice data can also be used to train a good TTS model! (few shot voice cloning)

DexiNed: Dense EXtreme Inception Network for Edge Detection

PyTorch implementation of the diffusion-based method for CFD data super-resolution proposed in the paper "A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction".

A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning

🕸️ input/output for many mesh formats

This is the source code for our paper "Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils"

DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks

StyleGAN2-ADA - Official PyTorch implementation

Latent fingerprint reconstruction using Generative Convolutional Networks

Code and models for paper "Robust Minutiae Extractor: Integrating Deep Networks and Fingerprint Domain Knowledge" at International Conference on Biometrics (ICB) 2018

Official Implementation of the paper "Synthesis and Reconstruction of Fingerprints using Generative Adversarial Networks".

Streamlines calculator

Pytorch implementation for Flow Field Reduction via Reconstructing Vector Data from 3D Streamlines Using Deep Learning

Lecture material for machine learning applied to computational fluid mechanics

This repo contains some tutorial type programs showing some basic ways machine learning can be applied to CFD.

Python tool to genreate 2D meshes around airfoils

Generate Flow fields, used for agent steering

Deep Learning of Vortex Induced Vibrations

Unsupervised learning of Particle Image Velocimetry. (ISC 2020)

Code for "Learning data-driven discretizations for partial differential equations"

Computational Fluid Dynamics in JAX

🔊 Text-prompted Generative Audio Model - With the ability to clone voices

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

Synthesizing and manipulating 2048x1024 images with conditional GANs

Image-to-Image Translation in PyTorch

Python I/O for optical flow files (.flo)

Pytorch implementation of FlowNet by Dosovitskiy et al.

PIV dataset

Deep learning mechanism to predict the dense optical flow of every pixel given a static image. This approach considers non-semantic form of action prediction that makes it domain independent and m…