A Python implementation of global optimization with gaussian processes.

Physics_Informed Bayesian Optimization

An open source python library for scalable Bayesian optimisation.

Source code for Twitter's Recommendation Algorithm

Source code for Twitter's Recommendation Algorithm

Easily generate random fields

ERT - Ensemble based Reservoir Tool - is designed for running ensembles of dynamical models such as reservoir models, in order to do sensitivity analysis and data assimilation. ERT supports data as…

This repo contains a PyTorch implementation with DeepWave for the manuscript FWIGAN: Full-waveform inversion via a physics-informed generative adversarial network

Materials for the Hugging Face Diffusion Models Course

Python implementation of the NeurIPS 2022 paper arXiv:2202.05621 about nonlinear MCMC using Jax.

PyLops – A Linear-Operator Library for Python

InfoOT: Information Maximizing Optimal Transport

cryptozomebie lesson code

Repository for participants of the "Python software engineering" training

PyTorch implementation of normalizing flow models

Optimal Transport tools implemented with the JAX framework, to get auto-diff, parallel and jit-able computations.

Use Fourier transform to learn operators in differential equations.

code for Fast Point Cloud Registration with Optimal Transport

Optimal Transport Dataset Distance

Python libraries for Optimal Transport of time series - examples from paper Sambridge, Jackson and Valentine (2022)

A simple program to calculate the FLOPs of Pytorch models, multiple inputs supported, with cli tool and Python APIs.