基于Python的开源量化交易平台开发框架

A curated list of world models for autonomous driving. Keep updated.

[TOSEM'25] The official GitHub page for the survey paper "A Survey on Large Language Models for Code Generation".

(ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.

A collection of awesome text-to-image generation studies.

A curated list of awesome Deep Stereo Matching resources

A collection of recent resources on End-to-End Autonomous Driving [survey accepted in IEEE TIV]

Labeling tool with SAM(segment anything model),supports SAM, SAM2, sam-hq, MobileSAM EdgeSAM etc.交互式半自动图像标注工具

Effortless data labeling with AI support from Segment Anything and other awesome models.

[Information Fusion 2024] A Survey on Occupancy Perception for Autonomous Driving: The Information Fusion Perspective

Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2), MobileSAM!!

Radar Camera Fusion in Autonomous Driving

Python Backtesting library for trading strategies

计算机视觉相关综述。包括目标检测、跟踪........

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

中国大模型

This is a costmap plugin for costmap_2d pkg. This plugin supports multiple depth cameras and run in real time.

The official GitHub page for the survey paper "A Survey of Large Language Models".

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

robot_localization is a package of nonlinear state estimation nodes. The package was developed by Charles River Analytics, Inc. Please ask questions on answers.ros.org.

This repository ROS package is suit for scout 2 and scout mini

ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM

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

[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.