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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Open-source simulator for autonomous driving research.
| Date | Stars |
|---|---|
| 2026-07-24 | 14214 |
| 2026-07-25 | 14214 |
| 2026-07-28 | 14214 |
| 2026-07-30 | 14233 |
| 2026-08-06 | 14233 |
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CARLA Simulator =============== [](https://carla-ue5.readthedocs.io) [](http://carla.org) [](https://github.com/carla-simulator/carla/releases) [](https://carla-ue5.readthedocs.io) [](https://github.com/carla-simulator/carla/discussions) [](https://discord.gg/8kqACuC) CARLA is an open-source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. The simulation platform supports flexible specification of sensor suites and environmental conditions. [](https://www.youtube.com/watch?v=q4V9GYjA1pE) >[!NOTE] > This is the development branch `ue5-dev` for the **Unreal Engine 5.5 version of CARLA**. This branch exists in parallel with the Unreal Engine 4.26 version of CARLA, in the `ue4-dev` branch. Please be sure that this version of CARLA is suitable for your needs as there are significant differences between the UE 5.5 and UE 4.26 versions of CARLA. ### Recommended system * Intel i7 gen 9th - 11th / Intel i9 gen 9th - 11th / AMD Ryzen 7 / AMD Ryzen 9 * +32 Gb RAM memory * NVIDIA RTX 3070/3080/3090 / NVIDIA RTX 4090 / NVIDIA RTX 5090 or better * 16 Gb or more VRAM * Ubuntu 22.04 or 24.04, or Windows 11 >[!NOTE] > You must use either Ubuntu 22.04 or 24.04, or Windows 11. The Unreal Engine 5.5 version of CARLA will not work on Ubuntu 20.04 or Windows 10 or lower. ## Documentation The [CARLA documentation](https://carla-ue5.readthedocs.io/en/latest/) is hosted on ReadTheDocs. Please see the following key links: - [Building on Linux](https://carla-ue5.readthedocs.io/en/latest/build_linux_ue5/) - [Building on Windows](https://carla-ue5.readthedocs.io/en/latest/build_windows_ue5/) - [First steps](https://carla-ue5.readthedocs.io/en/latest/tuto_first_steps/) - [CARLA asset catalogue](https://carla-ue5.readthedocs.io/en/latest/catalogue/) - [Python API reference](https://carla-ue5.readthedocs.io/en/latest/python_api/) - [Blueprint library](https://carla-ue5.readthedocs.io/en/latest/bp_library/) ## CARLA Ecosystem Repositories associated with the CARLA simulation platform: * [**CARLA Autonomous Driving leaderboard**](https://leaderboard.carla.org/): Automatic platform to validate Autonomous Driving stacks * [**Scenario_Runner**](https://github.com/carla-simulator/scenario_runner): Engine to execute traffic scenarios in CARLA 0.9.X * [**ROS-bridge**](https://github.com/carla-simulator/ros-bridge): Interface to connect CARLA 0.9.X to ROS * [**Driving-benchmarks**](https://github.com/carla-simulator/driving-benchmarks): Benchmark tools for Autonomous Driving tasks * [**Conditional Imitation-Learning**](https://github.com/felipecode/coiltraine): Training and testing Conditional Imitation Learning models in CARLA * [**AutoWare AV stack**](https://github.com/carla-simulator/carla-autoware): Bridge to connect AutoWare AV stack to CARLA * [**Reinforcement-Learning**](https://github.com/carla-simulator/reinforcement-learning): Code for running Conditional Reinforcement Learning models in CARLA * [**RoadRunner**](https://www.mathworks.com/products/roadrunner.html): MATLAB GUI based application to create road networks in OpenDrive format * [**Map Editor**](https://github.com/carla-simulator/carla-map-editor): Standalone GUI application to enhance RoadRunner maps with traffic lights and traffic signs information **Like what you see? Star us on GitHub to support the project!** Paper ----- If you use CARLA, please cite our CoRL’17 paper. _CARLA: An Op
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:e191b1a78005c7f0, topic:ros, topic:autonomous-driving, topic:self-driving-car
matched fp:e191b1a78005c7f0, topic:deep-reinforcement-learning, topic:imitation-learning, readme:reinforcement learning