Tartan Drive dataset tools and utilities.

[ICLR 2020] Learning to Move with Affordance Maps 🗺️🤖💨

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

[PyTorch] Official implementation of CVPR2022 paper "TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers". https://arxiv.org/abs/2203.11496

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

[ICLR 2023] Pytorch implementation of PPGeo, a fully self-supervised driving policy pre-training framework to learn from unlabeled driving videos.

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

End-to-End Object Detection with Transformers

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

[IEEE T-PAMI 2023] Awesome BEV perception research and cookbook for all level audience in autonomous diriving

[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving

[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving

Vision-Centric BEV Perception: A Survey

[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Artificial Intelligence and simulating brains at multiple scales…

[ICLR'23 Spotlight & IJCV'24] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction

This is the official code base of VectorMapNet (ICML 2023)

The official implementation of the CVPR2023 paper titled “Neural Map Prior for Autonomous Driving”.

This repository contains implementations and illustrative code to accompany DeepMind publications

[NeurIPS 2023 Track Datasets and Benchmarks] OpenLane-V2: The First Perception and Reasoning Benchmark for Road Driving

Topology Reasoning for Scene Perception in Autonomous Driving

[AAAI2025] Language Prompt for Autonomous Driving