Code repository for the paper: Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild (ICCV 2021)

Official Pytorch implementation of "Probabilistic Cross-Modal Embedding" (CVPR 2021)

a python framework to build, learn and reason about probabilistic circuits and tensor networks

Fully and Partially Bayesian Neural Nets

Official Pytorch implementation of "Improved Probabilistic Image-Text Representations" (ICLR 2024)

Active Bayesian Causal Inference (Neurips'22)

🍓 Build and train energy-based and diffusion models in PyTorch ⚡.

The official repository for AAAI 2024 Oral paper "Structured Probabilistic Coding".

Clean Random Events for Probabilistic Reasoning in Python

Coordinate Ascent Variational Inference for Dirichlet Process Mixtures of Gaussians

Clean Factor Graphs in Python

Planning to Fairly Allocate: Probabilistic Fairness in the Restless Bandit Setting (KDD 2023)

Probabilistic modeling of high-dimensional binary data in JAX

List of casual implementations of machine learning models from scratch.

Probabilistic modeling through Bayesian inference using PyStan with demonstrative case study experiments from Christopher Bishop's Model-based Machine Learning.

We present a probabilistic model for neural spike counts that can capture arbitrary single neuron and joint statistics with their modulation by external covariates.

Predicting Mortality after Transcatheter Aortic Valve Replacement using Preprocedural CT [Scientific Reports 2024]

Predicting air pollution amounts in cities using a Gaussian Process model