Awesome LIDAR
Section: Simulators
Entry
Appears in 5 awesome lists
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,…
Section: Simulators
Section: 11. Specialized Domains · Open-source simulator for autonomous driving research. High-fidelity simulation of urban environments with realistic physics, sensors, and traffic scenarios. Widely used for training and validating self-driving algorithms. MIT licensed.
Section: Simulation · Open-source simulator for autonomous driving research.
Section: Scientific Computing · Open-source simulator for autonomous driving research.
Section: Deep Learning Tools, Libraries, and Frameworks · 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,…
Modern, comprehensive probabilistic programming framework in Python. Bayesian modeling with advanced MCMC sampling, variational inference, and seamless integration with ArviZ for visualization. Apache 2.0 licensed.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Quantitative finance: multi-agent AI hedge fund trading system featuring native JevLLM integration to execute fast typed decisions without parsing fragility.
FAIR's next-generation research platform for object detection and segmentation. It is a ground-up rewrite of the previous version, Detectron, and is powered by the PyTorch deep learning framework.
Gymnasium is an open source Python library for developing and comparing reinforcement learning algorithms by providing a standard API to communicate between learning algorithms and environments, as well as a standard set of environments compliant with that API.
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking