Popular GitHub Repositories for Distributions

the open-source virtual assistant for Ubuntu based Linux distributions

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python

An MDN Layer for Keras using TensorFlow's distributions module

The official code for our ECCV22 oral paper: tracking objects as pixel-wise distributions.

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-dimensional) data distributions. In this survey, we provide an exhaustive literature review of 74 articles published in major RS and ML journals and conferences. This review serves as a reference for the RS community, working on the security of RS or on generative models using GANs to improve their quality.

Lesson material on data science and machine learning topics/concepts

Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019)

[NeurIPS 2023] Official Implementation: "Ambient Diffusion: Learning Clean Distributions from Corrupted Data"

Fit hidden Markov models using Template Model Builder (TMB): flexible state-dependent distributions, transition probability structures, random effects, and smoothing splines.

A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.

Distrax, but in equinox. Lightweight JAX library of probability distributions and bijectors.

The Belief Propagation approximation for probability distributions on sparse graphs

Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen

? Energy-Based Modeling library for PyTorch, offering tools for sampling, inference, and learning in complex distributions.

PyTorch implementation of the mixture distribution family with implicit reparametrisation gradients.

ICLR25 | Official code base for Denoising Levy Probabilistic Models (DLPM)

Hadamard Response: Communication efficient, sample optimal, linear time locally private learning of distributions

Variational Bayesian Model Selection for Mixture Distributions [Corduneanu&Bishop01][PRML 10.2.1]

General Information, model certifications, and benchmarks for nm-vllm enterprise distributions