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Name: TUM Physics-based Simulation
Type: Organization
Location: Munich!
Blog: https://ge.in.tum.de
Name: TUM Physics-based Simulation
Type: Organization
Location: Munich!
Blog: https://ge.in.tum.de
Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
Conjugate Gradient related code for "Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers"
This is the source code for our paper "Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils"
A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning
Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
Diffusion-based flow prediction (DBFP) with uncertainty for airfoils
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)
Repository for our CVPR 2021 Global Flow Transport Paper
Source code for the ICLR'22 paper on "Half-Inverse Gradients"
LSiM is a learned metric to compute distance values for 2D data from numerical simulations
mantaflow is an open-source framework targeted at fluid simulation research in Computer Graphics and Machine Learning.
Repository for the ICLR '23 paper on Neural-Global-Transport
Welcome to the Physics-based Deep Learning Book (v0.2)
A differentiable PDE solving framework for machine learning
Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
Data-driven Regularization via Racecar Training for Generalizing Neural Networks
ScalarFlow Reconstruction for Large-Scale Volumetric Data Sets of Real-world Scalar Transport Flows
ICLR'24: Symmetric basis convolutions for learning lagrangian fluid mechanics
Scale-invariant Learning by Physics Inversion (NeurIPS 2022)
Solving Inverse Physics Problems with Score Matching
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers
The source code the for the ICLR'24 paper "Stabilizing Backpropagation Through Time to Learn Complex Physics"
This repo will contain source code and materials for the TecoGAN project, i.e. code for a TEmporally COherent GAN
Source code for the SIGGRAPH paper "tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.