Code for the paper Universal Physics Transformers

Applied 3D geometry in C++, with a focus on surface meshes.

Tangle Software Library

A machine learning boosted parallel-in-time differential equation solver framework.

DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia

A differentiable PDE solving framework for machine learning

Machine learning library written in Rust

aider is AI pair programming in your terminal

Learning in infinite dimension with neural operators.

Framework providing pythonic APIs, algorithms and utilities to be used with Modulus core to physics inform model training as well as higher level abstraction for domain experts

🏆 A ranked list of awesome atomistic machine learning projects ⚛️🧬💎.

Constellation Identification + Forum + Learning Web App

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

This repository contains data science educational materials developed by DSECOP Fellows.

Shareable, interactive scientific figures in the cloud

ESI-DCAFM-TACO-VDSP Summer School on "Machine Learning for Materials Hard and Soft"

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equat…

Data on men's test cricket matches and influencing factors (e.g. rankings) to analyse the impact of various factors on results

Materials Learning Algorithms. A framework for machine learning materials properties from first-principles data.

Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts

Neural network based solvers for partial differential equations and inverse problems 🌌. Implementation of physics-informed neural networks in pytorch.

Helicopter Scientific Machine Learning (SciML) Challenge Problem

Bayesian Deep Learning Benchmarks