Break the linear presentation of Jupyter Notebooks with sticky cells!

Conformal classifiers, regressors and predictive systems

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

Scikit-learn tutorial on model inspection given in PyConDE & PyData Berlin 2022

Tutorial on time-series forcasting with scikit-learn

runtime

Code and tutorials to visualise your data that is both beautiful *and* statistically valid

Applications of PINOs

Code accompanying my blog post: So, what is a physics-informed neural network?

This repository is a turorial for easy Python packaging

Companion webpage for the book "Bayesian Optimization" by Roman Garnett

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.

Code accompanying a paper on data-driven polynomial ridge approximation

Statistical Rethinking course winter 2022

A modular active learning framework for Python

Répertoire des traductions françaises des notebooks d'Alfredo Canziani du cours Deep Learning de la NYU

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

This repository contains implementations and illustrative code to accompany DeepMind publications

Science des Données Saison 3: Apprentissage Automatique / Statistique pour l'Intelligence Artificielle

Implementation of Auto Associative Kernel Regression (AAKR)

Software libraries that implement hierarchical matrices

A fast, accurate direct solver and determinant computation for dense linear systems