lbasora

bayesrul

Bayesian Neural Networks to predict RUL on N-CMAPSS

bnnrul

Tools to test BNN inference algorithms and techniques to predict RUL on aeronautical systems.

sectflow

DCEC

FEAT

pt-sdae

PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)

PyTorch-BayesianCNN

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

back2python

A quick way to be back on track with Python 3

bayesian-deep-rul

Official implementation of https://arxiv.org/abs/1911.06256. Bayesian and frequentist deep learning models for remaining useful life (RUL) estimation implemented in PyTorch.

blitz-bayesian-deep-learning

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

ConvLSTM_pytorch

Implementation of Convolutional LSTM in PyTorch.

DCC

This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper

Deep-SAD-PyTorch

A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.

deep-traffic-generation

Traffic Generation

OmniAnomaly

KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

openap

Open Aircraft Performance Model and Python Toolkit

pytorch_convolutional_rnn

PyTorch implementation of Convolutional Recurrent Neural Network

rethinking-pyro

Statistical Rethinking with PyTorch and Pyro

traffic

A toolbox for manipulating and analysing air traffic data

TyXe