cars-dataset 话题在 GitHub 上没有填写简介，这里按 Star 数汇总最相关的热门仓库。
Introducing the most comprehensive and up-to-date open source dataset on US car models on Github. With over 15,000 entries covering car models manufactured between 1992 and 2026, this repository offers valuable information for anyone looking to incorporate car data into their applications. Best of all, it's completely free to use!
Simple Implementation of many GAN models with PyTorch.
Global Cars, Trucks & motorcycle Specs & Features Dataset (1898–2026) — over 35,000 variants across 370+ brands with detailed specs, performance, dimensions, and features. Perfect for developers, researchers, and AI projects.
The models are trained on the Cars Dataset. Given an image of a car, the models can predict the vehicle's make, model and year of production.
Car-Makes-Explorer is a free and open source web application that enables users to explore car manufacturers and view detailed information on their available models. The application leverages the CarQuery API—a fully free API that requires no registration—and is built using HTML, CSS, JavaScript, and Bootstrap 5 for responsive design. By Bocaletto
Pipeline for parsing data from auto.drom.ru/archive + collected data
Python script to fetch cars data
Master Degree Coursework: Econometrics II
This is the Code and Data repository the RamPINN AISTATS 2026 publication. It shows a physics-informed CARS to Raman recovery strategy without needin the NRB.
Recognizing car models through pictures with deep machine learning
Scraped data from one of the most famous Arabic sites for selling cars [YallaMotors] Using requests-html library and stored it in CSV file to use it in ML projects.
Free encyclopedia of production cars. Browse and compare by body style, powertrain, origin or decade; model acceleration, drag, top speed and running costs from the published specs; run a real wind-tunnel solve on your GPU.
Car Data Analysis notebook project. Created using Google collab
Analysis of cars in Germany and price prediction with regression model.
Analyze cars dataset through EDA using Python. Includes data preprocessing, visualization, and insights extraction. Technologies: Pandas, Seaborn, Matplotlib.
Tesla Deaths is a record of Tesla accidents that involved a driver, occupant, cyclist, motorcyclist, or pedestrian death. We record information about Tesla fatalities that have been reported and as much related crash data as possible such as location of crash, names of deceased. This dataset also tallies claimed and confirmed Tesla autopilot cra…
Project that detects the model of a car, between 1 and 196 models ( the 196 modelss of Stanford car file), that appears in a photograph with a success rate of more than 70% (using a test file that has not been involved in the training as a valid or training file, "unseen data") and can be implemented on a personal computer.
该项目在 GitHub 上没有填写描述
Analyse Big Data with Python
Web scraping car listings with Python and BeautifulSoup4