antonior92

advtrain-linreg

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

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

ip-nonlinear-solver

A trust-region interior-point method for general nonlinear programing problems (GSoC 2017).

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):

physionet-12ecg-classification

Physionet 2020 challenge

sysid-neuralnet

Deep neural networks for system identification problems. (WIP)

scipy

SciPy library main repository

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".

antonior92/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".

antonior92/ecg-preprocessing

antonior92/physionet-12ecg-classification

Physionet 2020 challenge

antonior92/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):

antonior92/aliasing-in-cnns

How convolutional neural networks deal with aliasing

antonior92/attractors-and-smoothness-RNN

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

antonior92/advtrain-linreg

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

antonior92/ecg-heatmaps

antonior92/ml4ecg-resources

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

antonior92/antonior92

Config files for my GitHub profile.

antonior92/GSoC2017-Scipy

My Google Summer of Code proposal for Scipy.

antonior92/antonior92.github.io

My personal website :)

antonior92/Learning_Theory_from_First_Principles

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

antonior92/.emacs.d

my emacs configuration file.

antonior92/advtrain-linear

antonior92/af-risk-prediction

antonior92/antialiased-cnns

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

antonior92/causal_inference_python_code

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

antonior92/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.

antonior92/EBG_analysis

antonior92/ecg-chagas

antonior92/expRNN

Optimization with orthogonal constraints and on general manifolds

antonior92/open_lth

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

antonior92/Pytorch-Adversarial-Training-CIFAR

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

antonior92/PyTorch-CIFAR10

Pretrained TorchVision models on CIFAR10 dataset (with weights)

antonior92/robustness

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

antonior92/seminars-overparam-ml

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

antonior92/toyproblem-af-classification

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

antonior92/toyproblem_af