Alternatives and similar repositories for ECML-PKDD-2015

Users that are interested in ECML-PKDD-2015 are comparing it to the libraries listed below

• adbrebs / taxi
  Winning entry to the Kaggle taxi competition
  ☆263Updated 9 years ago
• roryhr / taxi-trajectories
  ☆38Updated 6 years ago
• AmalSd / Taxi-Demand-Prediction
  This repository contains the code and hyper-parameters for the paper: "Predicting taxi-passenger demand using streaming data, L. Moreira…
  ☆11Updated 7 years ago
• uky-transport-data-science / ce599
  CE599-002 Data Science for Transportation
  ☆23Updated 3 years ago
• amirstar / Deep-Forecast
  The code of the paper 'Deep Forecast : Deep Learning-based Spatio-Temporal Forecasting", ICML Time Series Workshop 2017.
  ☆119Updated 5 years ago
• sdaulton / TaxiPrediction
  ☆75Updated 9 years ago
• hochthom / kaggle-taxi-ii
  Winning solution for the Taxi-Trip Time Prediction Challenge on Kaggle
  ☆48Updated 9 years ago
• Lab-Work / gpsresilience
  Use of taxi GPS devices as pervasive resilience sensors.
  ☆30Updated 9 years ago
• taspinar / GPSMachineLearning
  ☆136Updated 7 years ago
• christophertull / taxi-trajectory-prediction
  Predict the destination of taxis in Porto, Portugal. https://www.kaggle.com/c/pkdd-15-predict-taxi-service-trajectory-i
  ☆8Updated 9 years ago
• mas-dse-c6sander / DSE_Cohort2_Traffic_Capstone
  Cohort2 Traffic Analysis Capstone
  ☆23Updated 7 years ago
• sinadabiri / Deep-Semi-Supervised-GPS-Transport-Mode
  ☆46Updated 2 years ago
• YitongCU / Duel-staged-Attention-for-NYC-Weather-prediction
  Dual Staged Attention Model for Time Series prediction
  ☆66Updated 7 years ago
• jorsalsa / gpstransmode
  GPS-TransMode leverages machine learning algorithms to predict transportation modes from raw GPS data
  ☆27Updated 4 years ago
• pipidog / DeepTimeSeries
  A Keras-based library for analysis of time series data using deep learning algorithms.
  ☆117Updated 7 years ago
• megacell / python-traffic-assignment
  towards a working Frank-Wolfe implementation of the equilibrium assignment in Python
  ☆51Updated 8 years ago
• edouardelasalles / stnn
  Code for the paper "Spatio-Temporal Neural Networks for Space-Time Series Modeling and Relations Discovery"
  ☆119Updated 5 years ago
• charlieblue17 / timeseries2018
  Course page for DS-GA 3001.001 Modeling Time Series Data
  ☆43Updated 7 years ago
• wuhao5688 / RNN-TrajModel
  The source of the IJCAI2017 paper "Modeling Trajectory with Recurrent Neural Networks"
  ☆94Updated 4 years ago
• eubr-bigsea / py-st-dbscan
  An implementation of ST-DBScan algorithm using Python language
  ☆145Updated 5 years ago
• shellshock1911 / Sky-Cast-Capstone
  Sky Cast: A Comparison of Modern Techniques for Forecasting Time Series
  ☆67Updated 7 years ago
• seanabu / seanabu.github.io
  personal blog
  ☆108Updated 6 years ago
• robohal / lstm-bus-route-prediction
  The project uses Keras on top of a Tensorflow LSTM to predict bearings, latitude/longitude, delays, and speeds for Metlink bus ping data
  ☆11Updated 7 years ago
• LevinJ / Supply-demand-forecasting
  supply demmand gap prediction for ride-hailing
  ☆76Updated 7 years ago
• zihenglin / LSTM-Mobility-Model
  LSTM Mobility Model implementation using Tensorflow
  ☆21Updated 7 years ago
• evfro / TensorGlue
  Tensor-based recommender system that incorporates categorical contextual information into collaborative filtering workflow.
  ☆26Updated 9 years ago
• matthewswogger / Surge-Forecast-with-RNN
  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
• kthouz / NYC_Green_Taxi
  Analysis of NYC Green Taxi and a model to predict the tip as a percentage of the total fare
  ☆45Updated 7 years ago
• Vishwacorp / nyc_uber_forecasting
  Forecasting Uber demand in NYC neighborhoods
  ☆34Updated 7 years ago
• ashtawy / DCMFlow
  Nested Logit Model with TensorFlow
  ☆11Updated 6 years ago