We use Convolutional Neural Networks to analyse turbulent flows with streaks imaging

Creates C and CUDA analytical Jacobians for chemical kinetics ODE systems

Code for the framework, neural closure models.

Interactive visualizations of the geometric intuition behind diffusion models.

EquiNO: A physics-informed neural operator for multiscale simulations

A fun, lightweight tool to visualize potential flows quickly!

A workflow for reproducible and open scientific articles

Implementations for all experiments in the DiME paper.

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

A community-maintained Python framework for creating mathematical animations.

Official PyTorch Implementation of "SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers"

Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series

Reduced-Order Nonlinear Approximation with on-the-fly Learning Procedure

Awesome resources on normalizing flows.

Making Fabio Crameri's perceptually uniform colourmaps for geosciences available on PyPI and conda-forge

A curated list of awesome Active Learning

Discontinuous Neural Networks

Reduced-order modelling using an atlas of charts

Encoding physics to learn reaction-diffusion processes

A python package to process Direct Numerical Simulations

Authors' implementation of the preprint The curse of isotropy: from principal components to principal subspaces.

Framework for Easily Invertible Architectures

Segment images utilizing pre-trained neural networks as feature extractors

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."