DanieleGammelli/DeepKalmanFilter

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Created almost 5 years ago
Updated almost 5 years ago

DanieleGammelli/DeepKalmanFilter

DanieleGammelli

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Pyro/Pytorch implementation of Deep Kalman FIlter for shared-mobility demand prediction

gnn-rl-for-amod

Official implementation of "Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand

variational-poisson-rnn

Official implementation of "Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management"

pyro-torch-normalizing-flows

Implementations of Normalizing Flows in Pytorch/Pyro

Jupyter Notebook

graph-meta-rl-for-amod

Official implementation of "Graph Meta-Reinforcement Learning for TransferableAutonomous Mobility-on-Demand"

graph-rl-for-network-optimization

recurrent-flow-nets

Jupyter Notebook

multi-output-gp-censored-regression

Jupyter Notebook