43 skills found · Page 1 of 2
hpparvi / PyTransitFast and easy exoplanet transit light curve modelling.
lkreidberg / BatmanFast transit light curves models in Python.
simovilab / Infobus MCPModel Context Protocol server enabling AI assistants to access transit information through standardized interfaces
whucs21Mzy / Model Phase TransitionsNavigating Model Phase Transitions to Enable Extreme Lossless Compression: A Perspective
hove-io / Transit ModelManaging transit data with Rust
nespinoza / JulietA versatile modelling tool for transiting and non-transiting (single and multiple) exoplanetary systems
mrtommyb / KtransitA simple exoplanet transit modeling tool in python
oscaribv / PyanetiA multi-planet Radial Velocity and Transit modelling software
ucl-exoplanets / PylightcurveA python package for modeling and analysing transit light-curves.
chairemobilite / TransitionTransition is a modern new approach to transit planning. It's a web application to model, simulate and plan public transit and alternative transportation.
pmaxted / EllcLight curve model for transiting exoplanets and eclipsing binary stars
tmelliott / TransitrAn R package for constructing and modelling a transit network in real time to obtain vehicle ETAs
osplanning-data-standards / GTFS PLUSA GTFS-based data transit network data standard suitable for dynamic transit modeling.
ucl-exoplanets / Pylightcurve TorchAn exoplanet transit modelling package for deep learning applications in Pytorch.
darkgrue / Portable Raspberry Pi Kali Kismet IntegrationHardware and software integration for a transit-case-portable version of Kismet running on Offensive Security Kali Linux and a Raspberry Pi 3 Model B+.
RushabhK02 / Routed Dynamic Bus Scheduling And AllocationWe developed a dynamic Bus scheduling and Allocation system in collaboration with public transit service BEST operating in Mumbai, India. The given system provides three different methods for forecasting bus schedules for the next week (ARIMAX, SARIMAX, LSTM RNNs) and results in automation of services with better utilization of buses across Mumbai. The product has been developed after discussions with the public bus transport service in Mumbai, India. The system takes spreadsheet files containing all the data related to daily bus operations and generates forecasts for number of trips required on each route and per hour. Using these forecasts, we generate Bus Timetables and schedules with maximal reuse and minimal waiting time for passengers. The technologies used are python for business logic and back-end framework while PyQt framework was used for developing the GUI. Libraries used are Keras, Pandas and Statsmodel for developing the LSTM RNNs and statistical models (ARIMAX and SARIMAX) respectively.
CEEU-lab / Urban ConnectorTools for street networks modeling : > This repository compiles a set of strategies to build transit networks and perform connectivity assesments.
tmelliott / TransitNetworkModelA realtime model of the Auckland Public Transport Network
shadden / TTV2Fast2FuriousA suite of routines for constructing and fitting linear transit timing variation models.
hposborn / MonoToolsA package for detecting, vetting, and modelling transiting exoplanets on uncertain periods
