CAN-Lee

CAN-Lee's Stars

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21.7k2543.6k3.7k

• google-deepmind/mujoco

  Multi-Joint dynamics with Contact. A general purpose physics simulator.

  Language:Jupyter Notebook8.4k1101.6k855

• yangchris11/samurai

  Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"

  Language:Python6.2k4869373

• nwojke/deep_sort

  Simple Online Realtime Tracking with a Deep Association Metric

  Language:Python5.4k953081.5k

• facebookresearch/co-tracker

  CoTracker is a model for tracking any point (pixel) on a video.

  Language:Jupyter Notebook4k33114268

• princeton-vl/RAFT

  Language:Python3.4k38170639

• z-x-yang/Segment-and-Track-Anything

  An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

  Language:Jupyter Notebook2.9k52154343

• google-research/kubric

  A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.

  Language:Jupyter Notebook2.4k40189235

• real-stanford/diffusion_policy

  [RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion

  Language:Python1.8k19113350

• google-deepmind/mujoco_menagerie

  A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.

  Language:Python1.6k2980231

• ARISE-Initiative/robosuite

  robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

  Language:Python1.4k25397440

• ARISE-Initiative/robomimic

  robomimic: A Modular Framework for Robot Learning from Demonstration

  Language:Python70612136209

• KimMeen/Awesome-GNN4TS

  [TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)

  67916256

• YanjieZe/3D-Diffusion-Policy

  [RSS 2024] 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations

  Language:Python608510160

• jess-moss/koch-v1-1

  A version 1.1 of the Alexander Koch low cost robot arm with some small changes.

  49691944

• omegaiota/DiffCloth

  Code repository for our paper DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact

  Language:C++370162034

• facebookresearch/tacto

  Simulator of vision-based tactile sensors.

  Language:Python355203775

• geng-haoran/Simulately

  A universal summary of current robotics simulators

  Language:TypeScript33812517

• NoneJou072/robopal

  robopal: a multi-platform, modular robot simulation framework based on MuJoCo, mainly used for reinforcement learning and control algorithm implementation of robotic arms.

  Language:Python17722115

• echowve/meshGraphNets_pytorch

  PyTorch implementations of Learning Mesh-based Simulation With Graph Networks

  Language:Python1582835

• humansensinglab/Hamba

  Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning Mamba

  771231

• facebookresearch/neuralfeels

  Neural feels with neural fields: Visuo-tactile perception for in-hand manipulation

  Language:Python737

• real-stanford/irp

  [RSS 2022 Best Paper, Best Student Paper Finalist] Iterative Residual Policy for Goal-Conditioned Dynamic Manipulation of Deformable Objects

  Language:Python61201

• hshi74/robocraft

  Language:Python40419

• mahdi-slh/DeformContact

  Language:Python12303

• PPI-PUT/cable_observer

  Language:Python11001

• priyasundaresan/rope-rendering

  Language:Python7302

• abwerby/HEGN

  This repository is a non official implementation of HEGN paper

  Language:Python4302

• L3S/TACTO-MuJoCo

  Simulator of vision-based tactile sensors in MuJoCo Physics Engine.

  Language:Python4001

• UM-ARM-Lab/mjregrasping

  Code accompanying "The Grasp Loop Signature: A Topological Representation for Manipulation Planning with Ropes and Cables"

  Language:Python322