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Shanghai Jiao Tong University
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MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).
A Paper List for Humanoid Robot Learning.
A comprehensive list of papers about Robot Manipulation, including papers, codes, and related websites.
CVPR and NeurIPS poster examples and templates. May we have in-person poster session soon!
[NeurIPS 2024 D&B] Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making
Robotic Development Kit (RDK) for Flexiv robots. Supports C++ and Python. Compatible with Linux, macOS, and Windows.
A curated list of 3D Vision papers relating to Robotics domain in the era of large models i.e. LLMs/VLMs, inspired by awesome-computer-vision, including papers, codes, and related websites
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 th…
[Embodied-AI-Survey-2024] Paper list and projects for Embodied AI
robomimic: A Modular Framework for Robot Learning from Demonstration
A Collection of Variational Autoencoders (VAE) in PyTorch.
Bindings for FontAwesome 6 icons to be used in XeLaTeX.
pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.
Sample programs using the pyopenxr python AR/VR bindings
visualize URDF/XACRO file, URDF Viewer works on Windows/MacOS/Linux
[IROS 2024] 📈 RISE: 3D Perception Makes Real-World Robot Imitation Simple and Effective
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
[CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3)
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.