Lidar Localization and Mapping

A Hybrid Deep Learning Model with Attention based ConvLSTM Networks for Short-Term Traffic Flow Prediction

RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO and designed for fine-tuning.

Python wrapper for the NVIDIA cuSFM library

🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

AI Tracking Solution for Any PTZ Cameras

LiDARCrafter: Dynamic 4D World Modeling from LiDAR Sequences

Inspiring the Next Generation of Segment Anything Models: Comprehensively Evaluate SAM and SAM 2 with Diverse Prompts Towards Context-Dependent Concepts under Different Scenes

📍PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency [TRO' 24]

A Robust Approach for LiDAR-Inertial Odometry Without Sensor-Specific Modelling

Point2RBox-v3: Self-Bootstrapping from Point Annotations via Integrated Pseudo-Label Refinement and Utilization

The official implementation of “Dual Focus-Attention Transformer for Robust Point Cloud Registration”(CVPR2025)

AFLI-Calib: Robust LiDAR-IMU extrinsic self-calibration based on adaptive frame length LiDAR odometry

DALI-SLAM: Degeneracy-Aware LiDAR-inertial SLAM with novel distortion correction and accurate multi-constraint pose graph optimization

Highly accurate and efficient VSLAM system for Python

MapAnything: Universal Feed-Forward Metric 3D Reconstruction

[IROS 2025] LiDAR-Augmented Gaussian Splatting and Neural SDF for Geometrically Consistent Rendering and Reconstruction

An Open Versatile Multi-Camera Visual-Inertial Sensor Suite

[IEEE SENSORS 2025] PicoSAM2 is a minimal, prompt-based segmentation model distilled from Meta’s SAM 2.1

VisioFirm: Cross-Platform AI-assisted Annotation Tool for Computer Vision

FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus Agent Tools, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae…

Self-hosted game stream host for Moonlight.

A powerful tool for creating fine-tuning datasets for LLM

This is the publish code of TrackAny3D (ICCV2025).

MiniCPM4 & MiniCPM4.1: Ultra-Efficient LLMs on End Devices, achieving 3+ generation speedup on reasoning tasks

MCP Server for Computer Use in Windows

本仓库包含对 Claude Code v1.0.33 进行逆向工程的完整研究和分析资料。包括对混淆源代码的深度技术分析、系统架构文档，以及重构 Claude Code agent 系统的实现蓝图。主要发现包括实时 Steering 机制、多 Agent 架构、智能上下文管理和工具执行管道。该项目为理解现代 AI agent 系统设计和实现提供技术参考。

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