The GitHub presence of tusen-ai showcases a variety of repositories primarily focused on Python, Jupyter Notebook, and TypeScript. Notable projects include naive-ui, a comprehensive Vue 3 component library, and simpledet, which serves as a versatile framework for object detection and instance recognition.
A Vue 3 Component Library. Fairly Complete. Theme Customizable. Uses TypeScript. Fast.
A Simple and Versatile Framework for Object Detection and Instance Recognition
Code for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and CTRL (ICCV 23, oral).
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LiDAR R-CNN: An Efficient and Universal 3D Object Detector
Paper and Codes for “RangeDet: In Defense of Range View for LiDAR-based 3D Object Detection” (ICCV2021)
Official PyTorch implementation for paper`Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane Detection' accepted by CVPR 2023
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Code for "Object as Query: Lifting any 2D Object Detector to 3D Detection"
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Xilinx Embedded Software (embeddedsw) Development
tusen-ai builds a range of projects on GitHub, primarily centered around object detection and LiDAR perception. Their repositories include frameworks and implementations that contribute to advancements in these fields.
tusen-ai primarily uses Python, Jupyter Notebook, and TypeScript in their repositories. These languages support their focus on machine learning and web development projects.
Yes, all of tusen-ai's repositories are public. This allows users and developers to access their code and collaborate on various projects, enhancing community engagement and transparency.
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