calebbuffa

calebbuffa's Stars

• facebookresearch/segment-anything

  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.

  Language:Jupyter Notebook48.4k3136805.7k

• IDEA-Research/Grounded-Segment-Anything

  Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

  Language:Jupyter Notebook15.5k1153951.4k

• satellite-image-deep-learning/techniques

  Techniques for deep learning with satellite & aerial imagery

  8.9k279241.5k

• CASIA-IVA-Lab/FastSAM

  Fast Segment Anything

  Language:Python7.6k56209710

• IDEA-Research/GroundingDINO

  [ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

  Language:Python7.1k45311717

• CGAL/cgal

  The public CGAL repository, see the README below

  Language:C++5.1k1703.2k1.4k

• ChaoningZhang/MobileSAM

  This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

  Language:Jupyter Notebook4.9k43125508

• yanx27/Pointnet_Pointnet2_pytorch

  PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

  Language:Python3.8k19267917

• SysCV/sam-hq

  Segment Anything in High Quality [NeurIPS 2023]

  Language:Jupyter Notebook3.8k79139223

• NVIDIA/MinkowskiEngine

  Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

  Language:Python2.5k46551370

• UX-Decoder/Semantic-SAM

  [ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"

  Language:Python2.4k2396119

• facebookresearch/theseus

  A library for differentiable nonlinear optimization

  Language:Python1.8k31194131

• 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:Python1.8k20357193

• sail-sg/poolformer

  PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)

  Language:Python1.3k2249117

• py-pdf/fpdf2

  Simple PDF generation for Python

  Language:Python1.2k22470260

• MenghaoGuo/PCT

  Jittor implementation of PCT:Point Cloud Transformer

  Language:Python675163880

• qq456cvb/Point-Transformers

  Point Transformers

  Language:Python662945102

• QingyongHu/SensatUrban

  🔥Urban-scale point cloud dataset (CVPR 2021 & IJCV 2022)

  Language:C++514176358

• ma-xu/pointMLP-pytorch

  [ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework"

  Language:Python51139665

• griegler/octnet

  OctNet: Learning Deep 3D Representations at High Resolutions

  Language:C++4893727104

• nmwsharp/diffusion-net

  Pytorch implementation of DiffusionNet for fast and robust learning on 3D surfaces like meshes or point clouds.

  Language:Python423123056

• lukeroth/gdal

  Go (golang) wrapper for GDAL, the Geospatial Data Abstraction Library

  Language:Go292954131

• JamesQFreeman/PointRend

  an numpy-based implement of PointRend

  Language:Jupyter Notebook20512842

• CGuangyan-BIT/PointGPT

  [NeurIPS 2023] PointGPT: Auto-regressively Generative Pre-training from Point Clouds

  Language:Python20252721

• Esri/raster-functions

  A curated set of lightweight but powerful tools for on-the-fly image processing and raster analysis in ArcGIS.

  Language:Python198474281

• rubenwiersma/deltaconv

  Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."

  Language:Jupyter Notebook1385510

• ermongroup/neuralsort

  Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.

  Language:Python1359425

• threedle/3DHighlighter

  Localizing Regions on 3D Shapes via Text Descriptions

  Language:Python1017311

• jaketae/mlp-mixer

  PyTorch implementation of MLP-Mixer: An all-MLP Architecture for Vision

  Language:Python21226

• AmFamMLTeam/simplicial-2-complex-cnns

  NeurIPS workshop paper: Simplicial 2-Complex Convolutional Neural Networks ; Authors: Eric Bunch, Qian You, Glenn Fung, Vikas Singh

  Language:Python3200