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Tsinghua University
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Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
Code for our paper "VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters".
SAPIEN Manipulation Skill Framework, a open source GPU parallelized robotics simulator and benchmark, led by Hillbot, Inc.
Code release for "Omni3D A Large Benchmark and Model for 3D Object Detection in the Wild"
Code for "Open Vocabulary Monocular 3D Object Detection"
[CVPR2024] Code for "SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation".
DINO-X: The World's Top-Performing Vision Model for Open-World Object Detection and Understanding
[CVPR 2024 Highlight] FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
Inpaint anything using Segment Anything and inpainting models.
AL-Ref-SAM 2: Unleashing the Temporal-Spatial Reasoning Capacity of GPT for Training-Free Audio and Language Referenced Video Object Segmentation
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
Text-to-Image generation. The repo for NeurIPS 2021 paper "CogView: Mastering Text-to-Image Generation via Transformers".
Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.
Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2
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…
基于OpenVINO,本地部署大模型智能体Agent,控制TonyPi人形机器人
Writing AI Conference Papers: A Handbook for Beginners
Prompt2Act: Transforming Prompts into Sequence of Actions with Large Foundation Model
ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation
Whole building non-residential hourly energy meter data from the Great Energy Predictor III competition
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730