elendorial Goto Github PK

advdl4phy

Advanced Deep Learning for Physics

algorithms

assignment-preview

cg-solver-in-the-loop

Conjugate Gradient related code for "Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers"

cse167x

cuda

deep-flow-prediction

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

deep-fluids

Deep Fluids: A Generative Network for Parameterized Fluid Simulations

deep-learning-for-physics

Advanced Deep learning for physics (Fluid Simulations ) in TUM

deeponet

Learning nonlinear operators via DeepONet

dl4g

Example code for the Siggraph Asia Tutorial CreativeAI

flow

Implementation of our ICLR paper: https://openreview.net/pdf?id=By4HsfWAZ

fluidnet

Accelerating Eulerian Fluid Simulation With Convolutional Networks

fsww

Fundamental Sources for Water Wave Animation

incremental-fluids

Simple, single-file fluid solvers for learning purposes

latentspacephysics

Towards Learning the Temporal Evolution of Fluid Flow

neural-flow-style

Transport-Based Neural Style Transfer for Smoke Simulations

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

pyhessian

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

raytracer

smoothparticlenets

A set of custom deep network layers written in PyTorch to enable computation with unordered particle sets with an emphasis on fluid dynamics.

tegan

Generative Adversarial Network (GAN) for physically realistic enrichment of turbulent flow fields

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

tripods_winter_school_2022

Practicum on Supervised Learning in Function Spaces

unsupervised_deep_learning_of_incompressible_fluid_dynamics