Stars
A Library for Advanced Neural PDE Solvers.
📰 [TMLR 2026 Survey Certification] Must-Read Papers on Offline Model-Based Optimization 🔥
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the NeurIPS 2022 Datasets and Benchmarks Track conference.
About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/2402.02366
A complete computer science study plan to become a software engineer.
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
pyGeo provides geometric design variables and constraints suitable for gradient-based optimization.
ADflow is a finite volume RANS solver tailored for gradient-based aerodynamic design optimization.
Newton and Quasi-Newton optimization with PyTorch
Examples for MPI Spawning and Splitting, and the differences between two implementations