jphalip / ECML-PKDD-2015
☆22Updated 8 years ago
Alternatives and similar repositories for ECML-PKDD-2015:
Users that are interested in ECML-PKDD-2015 are comparing it to the libraries listed below
- Winning entry to the Kaggle taxi competition☆262Updated 9 years ago
- Winning solution for the Taxi-Trip Time Prediction Challenge on Kaggle☆48Updated 9 years ago
- The code of the paper 'Deep Forecast : Deep Learning-based Spatio-Temporal Forecasting", ICML Time Series Workshop 2017.☆118Updated 5 years ago
- ☆38Updated 6 years ago
- Cohort2 Traffic Analysis Capstone☆23Updated 7 years ago
- Sky Cast: A Comparison of Modern Techniques for Forecasting Time Series☆67Updated 7 years ago
- This repository contains the code and hyper-parameters for the paper: "Predicting taxi-passenger demand using streaming data, L. Moreira…☆11Updated 7 years ago
- Multivariate Time-Series Analysis using Recurrent Neural Net with Long Short Term Memory for forecasting surge pricing 5 min into the fut…☆44Updated 8 years ago
- Predict taxi trip duration based on historical trips using automated feature engineering☆62Updated 4 years ago
- Python code to re-produce results and illustrations of trajectory classification.☆64Updated 6 years ago
- A Keras-based library for analysis of time series data using deep learning algorithms.☆117Updated 7 years ago
- Dual Staged Attention Model for Time Series prediction☆67Updated 7 years ago
- supply demmand gap prediction for ride-hailing☆76Updated 6 years ago
- Predict the destination of taxis in Porto, Portugal. https://www.kaggle.com/c/pkdd-15-predict-taxi-service-trajectory-i☆8Updated 9 years ago
- ☆44Updated 2 years ago
- Python code to re-produce results and illustrations of destination prediction by trajectory distribution based model.☆12Updated 6 years ago
- Analysis of NYC Green Taxi and a model to predict the tip as a percentage of the total fare☆45Updated 7 years ago
- Doing Bayesian statistics in Python!☆67Updated 7 years ago
- ☆15Updated 7 years ago
- A place to implement state of the art deep learning methods for temporal modelling using python and MXNet.☆65Updated 5 years ago
- ☆132Updated 6 years ago
- Discretization with Fayyad and Irani's minimum description length principle criterion (MDLPC)☆60Updated 6 years ago
- Demand Forecasting Models for Kaggle competition☆81Updated 6 years ago
- Predict traffic flow with LSTM. For experimental purposes only, unsupported!☆54Updated 6 years ago
- DMVST-Net for AAAI 2018☆108Updated 4 years ago
- Predictive imputation of missing values with sklearn interface. This is a simple implementation of the idea presented in the MissForest R…☆40Updated 2 years ago
- Bus travel time and arrival prediction using ConvLSTM neural networks☆55Updated 6 years ago
- Implementation of dynamic origin-destination demand estimation☆20Updated 6 years ago
- Code for the paper "Spatio-Temporal Neural Networks for Space-Time Series Modeling and Relations Discovery"☆119Updated 5 years ago
- This repository is designed to teach you, step-by-step, how to develop deep learning methods for time series forecasting with concrete an…☆142Updated 6 years ago