Filipe Rodrigues's repositories
CrowdLayer
A neural network layer that enables training of deep neural networks directly from crowdsourced labels (e.g. from Amazon Mechanical Turk) or, more generally, labels from multiple annotators with different biases and levels of expertise.
Combining-TimeSeries-TextData
A deep learning approach for combining time-series and textual data for taxi demand prediction in event areas
mobility-baselines
Baselines and benchmarks for spatio-temporal forecasting problems in transportation.
pyDCML
PyDCML is a Python library for fast implementation and scalable inference of Bayesian Discrete Choice Models that makes it easy to leverage flexible state-of-the-art modelling techniques from Machine Learning, while remaining interpretable and preserving the links with economic theories.
amortized-mxl
Amortized-MXL: Scaling Bayesian Inference of Mixed Multinomial Logit Models to Very Large Datasets
LogReg-Crowds
Logistic Regression from Crowds