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## artificial-intelligence

- [taco-group/OpenEMMA](https://github.com/taco-group/OpenEMMA) - OpenEMMA, a permissively licensed open source "reproduction" of Waymo’s EMMA model.
- [lorenzovaquero/BUSCA](https://github.com/lorenzovaquero/BUSCA) - [ECCV 2024] BUSCA: "Lost and Found: Overcoming Detector Failures in Online Multi-Object Tracking"
- [RubixML/ML](https://github.com/RubixML/ML) - A high-level machine learning and deep learning library for the PHP language.
- [LLMBook-zh/LLMBook-zh.github.io](https://github.com/LLMBook-zh/LLMBook-zh.github.io) - 《大语言模型》作者:赵鑫,李军毅,周昆,唐天一,文继荣
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## machine-learning

- [knzo25/bevfusion_ros2](https://github.com/knzo25/bevfusion_ros2) - BEVFusion implementation in ROS2
- [taco-group/OpenEMMA](https://github.com/taco-group/OpenEMMA) - OpenEMMA, a permissively licensed open source "reproduction" of Waymo’s EMMA model.
- [netdata/netdata](https://github.com/netdata/netdata) - Architected for speed. Automated for easy. Monitoring and troubleshooting, transformed!
- [gradio-app/gradio](https://github.com/gradio-app/gradio) - Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
- [Zeyi-Lin/HivisionIDPhotos](https://github.com/Zeyi-Lin/HivisionIDPhotos) - ⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。
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## others

- [huggingface/open-r1](https://github.com/huggingface/open-r1) - Fully open reproduction of DeepSeek-R1
- [tu-darmstadt-ros-pkg/dynamic_direct_lidar_odometry](https://github.com/tu-darmstadt-ros-pkg/dynamic_direct_lidar_odometry) -
- [Charmve/OccNet-Course](https://github.com/Charmve/OccNet-Course) - 国内首个占据栅格网络全栈课程《从BEV到Occupancy Network,算法原理与工程实践》,包含端侧部署。Surrounding Semantic Occupancy Perception Course for Autonomous Driving (docs, ppt and source code) 在线课程主页:http://111.229.117.200:8100/ (作者独立搭建
- [skyshoumeng/PC-BEV](https://github.com/skyshoumeng/PC-BEV) - Offical code for: PC-BEV: An Efficient Polar-Cartesian BEV Fusion Framework for LiDAR Semantic Segmentation
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- [siyuanliii/masa](https://github.com/siyuanliii/masa) - Official Implementation of CVPR24 highligt paper: Matching Anything by Segmenting Anything
- [TJU-Aerial-Robotics/YOPO](https://github.com/TJU-Aerial-Robotics/YOPO) - You Only Plan Once: A Learning Based Quadrotor Planner
- [PKU-VCL-3DV/SLAM3R](https://github.com/PKU-VCL-3DV/SLAM3R) - Real-time dense scene reconstruction with SLAM3R
- [taco-group/OpenEMMA](https://github.com/taco-group/OpenEMMA) - OpenEMMA, a permissively licensed open source "reproduction" of Waymo’s EMMA model.
- [Amyyyy11/3D-Registration-in-30-Years-A-Survey](https://github.com/Amyyyy11/3D-Registration-in-30-Years-A-Survey) -
- [yangchris11/samurai](https://github.com/yangchris11/samurai) - Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"
- [facebookresearch/sam2](https://github.com/facebookresearch/sam2) - The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the m
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