Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"

Repository for the Stacks Project

NeurIPS23 "Flow Factorized Representation Learning"

Code for "SAM as an Optimal Relaxation of Bayes", ICLR 2023.

IVON optimizer for neural networks based on variational learning.

Code for the paper "Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models"

Public package to compute translationally and rotationally invariant wavelet-based statistics on images.

Scatterin Network for Python and CUDA

Materials of the Nordic Probabilistic AI School 2022.

Learning with 3D rotations, a hitchhiker’s guide to SO(3) - ICML 2024

Geometric kernels on manifolds, meshes and graphs

Exact method for visualizing partitions of a Deep Neural Network, CVPR 2023 Highlight

Github for the article

Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning

Public code for running Stochastic Gradient Descent on GPs.

Uncertainty quantification with PyTorch

The repository for simulating infinite-dimensional diffusion bridges through score operator matching

POT : Python Optimal Transport

About A collection of AWESOME things about information geometry Topics

Laplace approximations for Deep Learning.