jeannotalpin

manim

Animation engine for explanatory math videos

SALib

Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.

trieste

A Bayesian optimization toolbox built on TensorFlow

GFN

Graph Feedforward Networks: a resolution-invariant generalisation of feedforward networks for graphical data, applied to model order reduction

VENI-VINDy-VICI

An interpretable data-driven framework for building generative reduced order models with embedded uncertainty quantification

uncertainty-toolbox

Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

LaTeX-OCR

pix2tex: Using a ViT to convert images of equations into LaTeX code.

PyDTS

Python Deep Timeseries Simulation a toolkit for capturing unknow and possibly non-linear relations between input and output values

ROSE-pyforce

Python Framework for data-driven model Order Reduction of multi-physiCs problEms

awesome-machine-learning-fluid-mechanics

Curated list for ML in FM

pytorch_geometric

Graph Neural Network Library for PyTorch

awesome-uncertainty-deeplearning

This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.

awesome-fluid-dynamics

A curated list of repositories related to fluid dynamics.

Interactive-Neural-Process

Uno

A next-gen solver for optimization with nonconvex objective and constraints. Reimplements filterSQP and IPOPT (barrier) in a modern and generic way, and unlocks a variety of novel methods. Competitive against filterSQP, IPOPT, SNOPT, MINOS and CONOPT.

Surrogates.jl

Surrogate modeling and optimization for scientific machine learning (SciML)

bayesian-stats-modelling-tutorial

How to do Bayesian statistical modelling using numpy and PyMC3

conformalized_gp

MMD-VAE

Pytorch implementation of Maximum Mean Discrepancy Variational Autoencoder, a member of the InfoVAE family that maximizes Mutual Information between the Isotropic Gaussian Prior (as the latent space) and the Data Distribution.

Active_Learning

A walk through of applying an active learning strategy to efficiently train a Gaussian Process model.

conformal-predictions-from-scratch

Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.

PySPOD

A Python package for spectral proper orthogonal decomposition (SPOD).

causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

vizro

Vizro is a toolkit for creating modular data visualization applications.

taichi_LBM3D

A 3D sparse LBM solver implemented using Taichi

awesome-neural-ode

A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

trame

Trame lets you weave various components and technologies into a Web Application solely written in Python.

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

CFDPython

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

plotly_gif

Generate .gif from your Plotly figures