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PyPose
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PyPose
@pypose_org
An open-source library for differentiable robotics.
pypose.org
Joined December 2021
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  • user avatar
    PyPose
    @pypose_org
    May 28
    πŸ₯³πŸ₯³ This is awesome! Please enjoy this 100x acceleration for bundle adjustment from PyPose v0.9.5! πŸš€ πŸš€ πŸš€ πŸ“– You may simply start from here: github.com/pypose/pypose/…
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    SAIR Lab
    @sairlab_org
    May 28
    Excited to share our paper β€œBundle Adjustment in the Eager Mode” is accepted to IEEE T-RO! Notably, its GPU acceleration achieves over 100Γ— speedup compared to C++ libraries such as GTSAM, g2o, and Ceres, on large-scale BA problems! Code: github.com/pypose/bae
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    PyPose
    @pypose_org
    Jan 1
    πŸŽ‰ Happy New Year 2026! πŸš€ We’re excited to share that PyPose surpassed 160,000+ pip downloads in 2025 alone, representing over 60Γ— growth since its creation in 2022. This indicates a strong and growing popularity trend. Grateful for the support, and excited for what’s ahead! ✨
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    PyPose
    @pypose_org
    Mar 14, 2024
    It's great to see PyPose driving forward cutting-edge research in robotics! #pypose #robotics
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    SAIR Lab
    @sairlab_org
    Mar 14, 2024
    πŸŽ‰ Our work iSLAM: Imperative SLAM has been accepted to RA-L! ✨ iSLAM introduces a novel self-supervised imperative learning framework, promoting mutual correction between front-end and back-end components. πŸ”— Learn more at sairlab.org/iSLAM/. #SLAM #Robotics πŸ€–
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    PyPose
    @pypose_org
    Jan 1, 2024
    The Theme of PyPose in 2024 will be πŸ‘‰ Inclusion πŸ‘ˆ. Happy New Year!
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    PyPose
    @pypose_org
    Dec 7, 2023
    Are you ready for the next level tool of robot learning? PyPose now joins the PyTorch Ecosystem! It aims to bridge the gap between deep learning and robotics algorithms. Sounds cool, right? Try it `pip install pypose`, star it on GitHub github.com/pypose/pypose, and learn more
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    PyTorch
    @PyTorch
    Dec 6, 2023
    Introducing PyPose, one of our latest ecosystem tools πŸ”₯ PyPose is a PyTorch-based robotics-oriented library that provides a set of tools and algorithms for connecting deep learning with physics-based optimization. Learn more πŸ‘‡ hubs.ly/Q02cbc7y0
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