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Filipe Rodrigues's Projects

amortized-mxl icon amortized-mxl

Amortized-MXL: Scaling Bayesian Inference of Mixed Multinomial Logit Models to Very Large Datasets

carel icon carel

CAREL is open-source callback-based framework for promoting the flexible evaluation of different deep RL configurations under a traffic simulation environment.

crowdlayer icon 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.

dcm-ard icon dcm-ard

A Bayesian ARD approach for automatically determining an optimal utility function specification in Discrete Choice Models (DCMs) from an exponentially large set of possible specifications in a purely data-driven manner.

deepjmqr icon deepjmqr

Deep joint mean and quantile regression for spatio-temporal problems

edward icon edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

ma-sldac icon ma-sldac

Multi-Annotator Supervised LDA for classification

ma-sldar icon ma-sldar

Multi-Annotator Supervised LDA for regression

mobility-baselines icon mobility-baselines

Baselines and benchmarks for spatio-temporal forecasting problems in transportation.

pydcml icon 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.

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