♾A curated list of papers and code about very deep neural networks
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Updated
Oct 13, 2020
♾A curated list of papers and code about very deep neural networks
Simple VIN decoder for PHP 7.1+ based on ISO-3779
Decode and Validate Vehicle VINs - Javascript Client Wrapper for the nhtsa.dot.gov VPIC Vehicles API.
A VIN decoding, validation, and generation library for Dart.
On this page you will find resources and links to vehicle OSINT mainly focused on the UK
Sensor Fusion using Extended Kalman Filter
Official NHTSA vPIC API wrapper with offline WMI database fallback. Decodes VINs using government data for complete vehicle specs. Features 2000+ manufacturer codes for offline operation. Zero dependencies Python implementation.
Detect machine-readable zones (MRZ) in passports, travel documents, and ID cards
Files to decode VINs using an altered version of NHTSA's VIN Decoder. The stored procedure has been altered so that relevant data is output in a consistently ordered format to assist processing.
VEMO is a project to be developed in Swift for iOS devices. The project aims to automate the search for car information for people who are interested, the point is that the application will be connected to a common database which contains information about many cars.
Universal VIN Decoder is a tool to decode car's vin (vehicle identification number)
JavaScript library to decode VIN number for Toyota vehicles.
Library to parse and decode VIN (Vehicle Identification Number) from cars. Also known as chassis number.
Open-source Android OBD-II scanner sample app built with Kotlin, Jetpack Compose, Hilt and kotlin-obd-api. Shows Bluetooth ELM327 connectivity, live OBD-II PID polling, VIN/DTC diagnostics, and modern Android architecture for vehicle telemetry apps.
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