PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, ben…

10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)

🚗 자율주행 with Xycar

gpt4all: a chatbot trained on a massive collection of clean assistant data including code, stories and dialogue

Trading with recurrent actor-critic reinforcement learning

Pytorch implementation of our paper "CLRNet: Cross Layer Refinement Network for Lane Detection" (CVPR2022 Acceptance).

A paper list of lane detection.

Progressive LiDAR Adaptation for Road Detection

Lane detection and classification in an end-to-end Deep Learning fashion

An open source lane detection toolbox based on PyTorch, including SCNN, RESA, UFLD, LaneATT, CondLane, etc.

Development of Deep Learning algorithms for Drivable Area Segmentation, Lane Segmentation, Traffic Sign Detection and Classification with data collected and labeled by Ford Otosan.

This is an official repository of End-to-end Lane Shape Prediction with Transformers.

Development of Deep Learning algorithm for Drivable Area Segmentation with data collected and labeled by Ford Otosan.

SNE-RoadSeg for Freespace Detection in PyTorch, ECCV 2020

Exploring the use of bezier curves for lane detection —— A baseline model.

Computer Vision for Self Driving Car

AutonomousCar