DanieleGammelli / variational-poisson-rnnLinks
Official implementation of "Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management"
☆20Updated 3 years ago
Alternatives and similar repositories for variational-poisson-rnn
Users that are interested in variational-poisson-rnn are comparing it to the libraries listed below
Sorting:
- Multistep Traffic Forecasting by Dynamic Graph Convolution: Interpretations of Real-Time Spatial Correlations☆16Updated last year
- Temporal matrix factorization for sparse traffic time series forecasting.☆57Updated 2 months ago
- Transportation data online prediction☆50Updated 4 years ago
- Official implementation of "Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data".☆10Updated 2 years ago
- ☆9Updated last year
- RiccardoSpolaor / Verbal-Explanations-of-Spatio-Temporal-Graph-Neural-Networks-for-Traffic-ForecastingAn eXplainable AI system to elucidate short-term speed forecasts in traffic networks obtained by Spatio-Temporal Graph Neural Networks.☆20Updated last year
- ☆39Updated 3 years ago
- Data-Driven operations management - https://d3group.github.io/ddop☆16Updated last year
- Taxi Origin-Destination Demand Prediction☆53Updated 5 years ago
- Code for tasks on Cainiao-LaDe (Last-mile Delivery dataset).☆67Updated 7 months ago
- [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation☆25Updated last year
- Multi-task learning via Bayesian Neural Networks for Dynamic Time Series Prediction☆21Updated 7 years ago
- PyTorch implementation of STGCN☆74Updated 5 years ago
- ☆25Updated 4 years ago
- Graph Neural Networks utilization for Spatiotemporal graphs. These methods will be applied into the problem of forecasting traffic flow o…☆22Updated 4 years ago
- The repo for the ITSC 2022 paper "Forecasting Regional Multimodal Transportation Demand with Graph Neural Networks: An Open Dataset"☆22Updated 2 years ago
- Discovering dynamic patterns from spatiotemporal data with time-varying low-rank autoregression. (IEEE TKDE'24)☆23Updated 7 months ago
- Deep Probabilistic Koopman: long-term time-series forecasting under quasi-periodic uncertainty☆23Updated 3 years ago
- ☆10Updated 4 years ago
- ☆14Updated last year
- Open Source Projects from TULIP Lab☆17Updated 2 years ago
- ☆26Updated 4 years ago
- Code for the paper "Predict-then-optimize or predict-and-optimize? An empirical evaluation of cost-sensitive learning strategies".☆18Updated last year
- ☆11Updated last year
- Implementation of inventory control policy parameters computation algorithms☆19Updated 3 years ago
- A comprehensive time-series dataset survey☆17Updated 2 years ago
- ☆42Updated 3 years ago
- ☆18Updated 3 years ago
- ☆44Updated 4 years ago
- Reinforcement Learning for Optimal inventory policy☆30Updated 3 years ago