antonior92

automatic-ecg-diagnosis

Scripts and modules for training and testing neural network for ECG automatic classification. Companion code to the paper "Automatic diagnosis of the 12-lead ECG using a deep neural network".

ecg-age-prediction

Scripts and modules for training and testing neural network for age prediction from the ECG. Companion code to the paper "Deep neural network-estimated electrocardiographic age as a mortality predictor".

ecg-preprocessing

physionet-12ecg-classification

Physionet 2020 challenge

narx-double-descent

Explore the double-descent phenomena in the context of system identification. Companion code to the paper (https://arxiv.org/abs/2012.06341):

aliasing-in-cnns

How convolutional neural networks deal with aliasing

attractors-and-smoothness-RNN

Companion code to the 2020 AISTATS paper: ''Beyond exploding and vanishing gradients: analysing RNN training using attractors and smoothness"

advtrain-linreg

Explore properties adversarial training in linear models. Companion code to the paper "Regularization properties of adversarially-trained linear regression"

ecg-heatmaps

ml4ecg-resources

A list of machine learning for ECG interpretation resources developed by collaborators and me.

antonior92

Config files for my GitHub profile.

GSoC2017-Scipy

My Google Summer of Code proposal for Scipy.

antonior92.github.io

My personal website :)

Learning_Theory_from_First_Principles

Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach

.emacs.d

my emacs configuration file.

advtrain-linear

af-risk-prediction

antialiased-cnns

Antialiasing cnns to improve stability and accuracy. In ICML 2019.

causal_inference_python_code

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

CSrankings

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

EBG_analysis

ecg-chagas

expRNN

Optimization with orthogonal constraints and on general manifolds

open_lth

A repository in preparation for open-sourcing lottery ticket hypothesis code.

Pytorch-Adversarial-Training-CIFAR

This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.

PyTorch-CIFAR10

Pretrained TorchVision models on CIFAR10 dataset (with weights)

robustness

A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

seminars-overparam-ml

Material for the seminar course: "The unreasonable effectiveness of overparameterized machine learning models" held at Uppsala University.

toyproblem-af-classification

Atrial fibrillation classification from the ECG . Assignment for the WASP Course "Artificial Intelligence and Machine Learning"

toyproblem_af