antonior92 Goto Github PK
Name: Antonio Horta Ribeiro
Type: User
Company: Uppsala University
Bio: Postdoctoral fellow at Uppsala University πΈπͺ Machine learning, signal processing and system theory.
Twitter: ahortaribeiro
Location: Sweden
Name: Antonio Horta Ribeiro
Type: User
Company: Uppsala University
Bio: Postdoctoral fellow at Uppsala University πΈπͺ Machine learning, signal processing and system theory.
Twitter: ahortaribeiro
Location: Sweden
my emacs configuration file.
Explore properties adversarial training in linear models. Companion code to the paper "Regularization properties of adversarially-trained linear regression"
How convolutional neural networks deal with aliasing
Antialiasing cnns to improve stability and accuracy. In ICML 2019.
Config files for my GitHub profile.
My personal website :)
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Companion code to the 2020 AISTATS paper: ''Beyond exploding and vanishing gradients: analysing RNN training using attractors and smoothness"
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".
Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.
Matlab implementation of Differential Evolution.
Functions for visualization and analysis of dynamic systems.
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".
Jupyter notebook descrevendo a anΓ‘lise de sinais de eletrocardiograma.
Optimization with orthogonal constraints and on general manifolds
My Google Summer of Code proposal for Scipy.
A trust-region interior-point method for general nonlinear programing problems (GSoC 2017).
A converter that takes a matplotlib figure and spits out a TikZ/PGFplots figure for smooth integration into LaTeX.
A list of machine learning for ECG interpretation resources developed by collaborators and me.
Algorithms for Lasso estimation of NARMAX models.
Explore the double-descent phenomena in the context of system identification. Companion code to the paper (https://arxiv.org/abs/2012.06341):
Identification of output error models using shooting methods.
A repository in preparation for open-sourcing lottery ticket hypothesis code.
Parallel and series-parallel training of feedforward neural networks.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.