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

Materials of the Nordic Probabilistic AI School 2019.

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

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

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

Materials of the Nordic Probabilistic AI School 2021.

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

Explainable Machine Learning in Survival Analysis

Fully and Partially Bayesian Neural Nets

Active Bayesian Causal Inference (Neurips'22)

headquarters of the April team in Edinburgh

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

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

Clean Random Events for Probabilistic Reasoning in Python

List of casual implementations of machine learning models from scratch.

🥚 EnerGy Guided Diffusion for optimizing neurally exciting images

Bayesian Deep Learning in PyTorch

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

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