The collection of diffusion models for anomaly detection, a survey paper submitted to IJCAI 2025.

Post-hoc uncertainty estimation. See 1D Playground below

Official repository of LDMI (Latent Diffusion Models of INRs)

Deep Multiple Instance Learning library for Pytorch

A list of Medical imaging datasets.

Python Library for generating card embeddings

A beautiful, simple, clean, and responsive Jekyll theme for academics

Minimalistic Typst slides.

Be positive script

Open Overleaf/ShareLaTex projects in vscode, with full collaboration support.

Temario sobre aprendizaje por refuerzo en español.

A Bayesian functional regression framework built on RKHS's and reversible jump MCMC.

Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to ex…

Ressources of histopathology datasets

A Bayesian approach to functional regression: theory and computation

Repository for Variational Linearized Laplace Approximation for Bayesian Deep Learning

Code for Deep Variational Implicit Processes (DVIP - ICLR 2023)

This is a repository listing companies which offer full-time remote jobs with Spanish contracts

Functional Diffusion Maps algorithm implementation

Combining gaussian processes with an attention module

Bayesian k-SVD for Blind Color Deconvolution of histological images

Máster en Ciencia de Datos de la UAM.

Deep Gaussian Processes for Multiple Instance Learning (DGPMIL).

Master's Thesis - Data Science. Autonomous University of Madrid

Prácticas del Máster Universitario en Ciencia de Datos (EPS, UAM)