TransUMD

TransUMD's Stars

• UDST/osmnet

  Tools for the extraction of OpenStreetMap street network data

  Language:Python5718

• aws/amazon-sagemaker-examples

  Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

  Language:Jupyter Notebook10k6.7k

• kolovsky/spark-traffic-modeler

  Tool for transport modeling for Apache Spark

  Language:Scala73

• OSADP/ETFOMM

  Welcome to Enhanced Transportation Flow Open-source Microscopic Model (ETFOMM) project. ETFOMM inherits 40 years of FHWA development of traffic simulation algorithms and flow theories while overcoming CORSIM’s limitations in supporting research. This project also includes ETFOMM Application Programming Interface (ETAPI) that provides communications between ETFOMM core simulation engine and user-developed applications (Apps) through ETRunner, a Windows console program.

  Language:Fortran32

• prameshk/Traffic-Assignment

  This program solves the user equilibrium and stochastic user equilibrium for the city network

  Language:Python11840

• AleNegrini/PyCristoforo

  The new python library for the generation of contestualized random geolocations

  Language:Python318

• NYPL-publicdomain/greenbook-map

  Experimental interfaces that explore the Green Books collection at NYPL's Schomburg Center for Research in Black Culture

  Language:JavaScript245

• foss-transportationmodeling/popgen

  A synthetic population generator for advanced microsimulation models of urban systems

  Language:Python1510

• UDST/synthpop

  Synthetic populations from census data

  Language:Python10046

• Mogeng/IOHMM

  Input Output Hidden Markov Model (IOHMM) in Python

  Language:Python16035

• replicahq/doppelganger

  A Python package of tools to support population synthesizers

  Language:Python16532

• google/CausalImpact

  An R package for causal inference in time series

  Language:R1.7k252

• holoviz/hvplot

  A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews

  Language:Python1.1k105

• holoviz/datashader

  Quickly and accurately render even the largest data.

  Language:Python3.3k366

• xinychen/transdim

  Machine learning for transportation data imputation and prediction.

  Language:Jupyter Notebook1.2k297

• tylermorganwall/rayshader

  R Package for 2D and 3D mapping and data visualization

  Language:R2.1k211

• jeffcsauer/GSOC2020

  Workbook tracking progress in GSOC2020

  Language:Jupyter Notebook21

• alitouka/spark_dbscan

  DBSCAN clustering algorithm on top of Apache Spark

  Language:HTML255115

• irvingc/dbscan-on-spark

  An implementation of DBSCAN runing on top of Apache Spark

  Language:Scala18358

• bwoneill/pypardis

  A parallel distributed implementation of DBSCAN on Spark using Python

  Language:Python7526

• MCai416/SEIR-COVID19

  Use SEIR to model COVID 19

  Language:Python85

• coronafighter/coronaSEIR

  Simple SEIR model Python script for the COVID-19 pandemic with real world data comparison.

  Language:Python8233

• pulkitkumar95/yolo_challenege_498L

  Assignment 4: YOLO challenge

  Language:Python25

• ryansmcgee/seirsplus

  Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.

  Language:Python659216

• k-sys/covid-19

  A collection of work related to COVID-19

  Language:Jupyter Notebook1.4k432

• Imbruced/geo_pyspark

  Language:Python73

• CSSEGISandData/COVID-19

  Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

  29.1k18.4k

• ActivitySim/activitysim

  An Open Platform for Activity-Based Travel Modeling

  Language:Jupyter Notebook19099

• CKerouanton/ST-DBSCAN

  ST-DBSCAN

  Language:R149

• viguardieiro/STI-DBSCAN

  A Python implementation of sti-dbscan: an algorithm based on st-dbscan (which is based on dbscan) that clusters spatial-temporal interval data

  Language:Python2