[ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching

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

Materials of the Nordic Probabilistic AI School 2019.

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

Explainable Machine Learning in Survival Analysis

Materials of the Nordic Probabilistic AI School 2021.

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

SurvSHAP(t): Time-dependent explanations of machine learning survival models

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

Active Bayesian Causal Inference (Neurips'22)

Awesome-spatial-temporal-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repos are also included. Keep updating.

Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023

Multi-fidelity probability machine learning

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

Awesome-spatial-temporal-scientific-machine-learning-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repos are also included.

This is the official code for calibration in multi-hypothesis human pose estimation

Clean Random Events for Probabilistic Reasoning in Python

A Bayesian Convolutional Neural Network model for classifying Cataract in Ocular Disease with measurements of uncertainty

🥚 EnerGy Guided Diffusion for optimizing neurally exciting images

Repository of my notes and exercises on the course of Probabilistic Machine Learning by Prof. Luca Bortolussi at the University of Trieste in the year 2020/2021