Boey-li

Boey-li's Stars

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python57.9k4621335.9k

• Genesis-Embodied-AI/Genesis

  A generative world for general-purpose robotics & embodied AI learning.

  Language:Python22.7k2023241.9k

• jbhuang0604/awesome-computer-vision

  A curated list of awesome computer vision resources

  21.2k1.2k264.3k

• MrNeRF/awesome-3D-gaussian-splatting

  Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.

  Language:HTML6.6k22460396

• facebookresearch/co-tracker

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

  Language:Jupyter Notebook4.1k33115270

• jbhuang0604/awesome-tips

  3.5k994197

• RobotLocomotion/drake

  Model-based design and verification for robotics.

  Language:C++3.4k1716.3k1.3k

• Anttwo/SuGaR

  [CVPR 2024] Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering

  Language:C++2.5k63229197

• Pointcept/Pointcept

  Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)

  Language:Python1.8k20359195

• layerdiffusion/LayerDiffusion

  Transparent Image Layer Diffusion using Latent Transparency

  1.3k16

• XPandora/PhysGaussian

  [CVPR 2024 Highlight] PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics

  Language:Python1.1k454048

• ahundt/awesome-robotics

  A curated list of awesome links and software libraries that are useful for robots.

  1k481158

• octo-models/octo

  Octo is a transformer-based robot policy trained on a diverse mix of 800k robot trajectories.

  Language:Python1k18113184

• robotics-survey/Awesome-Robotics-Foundation-Models

  1k27293

• rusty1s/pytorch_cluster

  PyTorch Extension Library of Optimized Graph Cluster Algorithms

  Language:C++84215172153

• google-research/ravens

  Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

  Language:Python587162198

• taichi-dev/taichi_elements

  High-performance multi-material continuum physics engine in Taichi

  Language:Python503246472

• JeffreyYH/robotics-fm-survey

  Survey Paper of foundation models for robotics

  3289222

• aharley/pips2

  PIPs++

  Language:Python30042737

• PJLab-ADG/GPT4V-AD-Exploration

  On the Road with GPT-4V(ision): Explorations of Utilizing Visual-Language Model as Autonomous Driving Agent

  29011115

• Little-Podi/Transformer_Tracking

  This repository is a paper digest of Transformer-related approaches in visual tracking tasks.

  28612127

• Skylark0924/awesome-bimanual-manipulation

  Robot bimanual manipulation / dual-arm manipulation

  18510010

• kevinzakka/mujoco_scanned_objects

  MuJoCo Models for Google's Scanned Objects Dataset

  171549

• robo-alex/awesome-scene-representation

  A curated list of awesome scene representation(NeRFs) papers, code, and resources.

  1551305

• yknishidate/GP100L

  Graphics Programming in 100 Lines

  Language:Python120111

• Jianghanxiao/RoboEXP

  [CoRL 2024] RoboEXP: Action-Conditioned Scene Graph via Interactive Exploration for Robotic Manipulation

  Language:Python92224

• real-stanford/cloth-funnels

  [ICRA 2023] This repository contains code for training and evaluating Cloth Funnels in simulation for Ubuntu 18.04.

  Language:Python35696

• krishauser/GEMstack

  Educational autonomous driving stack for the Polaris GEM vehicle

  Language:Python17608

• Winniechen2002/DiffVL

  Language:Python710

• ShaoxiongYao/visual-tactile-simulate

  A minimal package to simulate visual deformation and tactile response of deformable objects.

  Language:Python4100