Name: Luis Basora
Type: User
Company: ONERA
Bio: Research engineer at ONERA, working in risk/performance assessment and data analysis applied to air traffic management and predictive aircraft maintenance.
Location: Toulouse, France
Luis Basora's Projects
A quick way to be back on track with Python 3
Official implementation of https://arxiv.org/abs/1911.06256. Bayesian and frequentist deep learning models for remaining useful life (RUL) estimation implemented in PyTorch.
Bayesian Neural Networks to predict RUL on N-CMAPSS
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
Tools to test BNN inference algorithms and techniques to predict RUL on aeronautical systems.
Implementation of Convolutional LSTM in PyTorch.
This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper
A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.
Traffic Generation
KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network
Open Aircraft Performance Model and Python Toolkit
PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
PyTorch implementation of Convolutional Recurrent Neural Network
Statistical Rethinking with PyTorch and Pyro
A toolbox for manipulating and analysing air traffic data