Awesome papers on weight-space learning

A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.

Database with posteriors of interest for Bayesian inference

An efficient, massively parallel probabilistic programming language

Normalizing Flow Regression for Bayesian Inference with Offline Likelihood Evaluations

Code for the FPI @ ICLR (2025, oral) & AABI 2025 workshop paper: Approximate Posteriors in Neural Networks: A Sampling Perspective

Uncertainty quantification with PyTorch

A collaborative note taking, wiki and documentation platform that scales. Built with Django and React.

A basic but extensible Jekyll theme based on Bootstrap 5.

A jekyll based resume template

Effector - a Python package for global and regional effect methods

Code for the ICLR 2025 paper: "Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural Networks"

Shapley Interactions and Shapley Values for Machine Learning

dataclasses enhanced with type validation and serialization

Collection of tools to interact with the SoundCloud API.