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Uppsala University
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- https://antonior92.github.io
- @ahortaribeiro
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Official PyTorch implementation of "No Double Descent in Principal Component Regression", ICML 2024.
Double Descent results for FCNNs on MNIST, extended by Label Noise (Reconciling Modern Machine-Learning Practice and the Classical Bias–Variance Trade-Off) [Python/PyTorch]..
Explore properties adversarial training in linear models. Companion code to the paper "Regularization properties of adversarially-trained linear regression"
A Python package for modular causal inference analysis and model evaluations
snpnet: Fast and scalable lasso/elastic-net solver for large SNP data
Analysis of the genomic architecture and functional role of myocardial trabeculae
Python package for dataset imports from UCI ML Repository
Read UCI dataset without the need to download any file from an external website.
Repository for the paper 'Prospects for AI-Enhanced ECG as a Unified Screening Tool for Cardiac and Non-Cardiac Conditions -- An Explorative Study in Emergency Care'.
The official dataload for http:https://www.nonlinearbenchmark.org/
A simple and flexible code for Reservoir Computing architectures like Echo State Networks
I provide simple (and sometimes not so simple) scripts on various topics in Nonlinear Dynamics. I offer them "as is". Feel free to use and modify them.
Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
DeepSurv is a deep learning approach to survival analysis.
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
A (concise) curated list of awesome Causal Inference resources.
Matplotlib styles for scientific plotting
Official implementation of "Invertible Kernel PCA with Random Fourier Features", 2022.
Deep learning for 12-lead ECG interpretation
Stable Diffusion web UI
Repository for the paper: 'Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models'
Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database
BibLaTeX bibliography support for publication lists
Deep learning ECG models implemented using PyTorch