Automatic-Parking
deepdrive
| Automatic-Parking | deepdrive | |
|---|---|---|
| 2 | 1 | |
| 388 | 926 | |
| -0.5% | 0.0% | |
| 1.9 | 0.0 | |
| 5 months ago | over 2 years ago | |
| Python | Python | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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Automatic-Parking
deepdrive
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Is it possible to train a self driving car on google colab?
I've been trying for a while now and I started thinking it may not be possible. If anyone has managed to train a self-driving car simulator using openai gym on google colab(preferably), or on any remote server (AWS, GCP, ...) please let me know. So far, I tried carla, airsim, svl, deepdrive and they are all equally useless unless run locally with a gui. I'd really appreciate if someone suggests some way that actually can make it possible.
What are some alternatives?
AutonomousVehicleControlBeginnersGuide - Python sample codes and documents about Autonomous vehicle control algorithm. This project can be used as a technical guide book to study the algorithms and the software architectures for beginners.
carlo - Open-source simulator for autonomous driving research.
Autonomous-Parking - Automatic parallel parking system including path planning, path tracking, and parallel parking in a designed environment written in python. [Moved to: https://github.com/Pandas-Team/Automatic-Parking]
PaddleHub - 400+ AI Models: Rich, high-quality AI models, including CV, NLP, Speech, Video and Cross-Modal. Easy to Use: 3 lines of code to predict 400+ AI models.
waymo-motion-prediction-challenge-2022-multipath-plus-plus - Solution for Waymo Motion Prediction Challenge 2022. Our implementation of MultiPath++
simglucose - A Type-1 Diabetes simulator implemented in Python for Reinforcement Learning purpose