YoungjoMin

YoungjoMin's Stars

• langchain-ai/langchain

  🦜🔗 Build context-aware reasoning applications

  Language:Jupyter Notebook97.9k7008k15.9k

• twitter/the-algorithm

  Source code for Twitter's Recommendation Algorithm

  Language:Scala62.7k34297912.2k

• openssl/openssl

  TLS/SSL and crypto library

  Language:C26.3k1k10.2k10.2k

• Anuken/Mindustry

  The automation tower defense RTS

  Language:Java23.1k5494.5k3k

• docker/docker-py

  A Python library for the Docker Engine API

  Language:Python6.9k1931.7k1.7k

• mkazhdan/PoissonRecon

  Poisson Surface Reconstruction

  Language:C++1.6k68282433

• pyeventsourcing/eventsourcing

  A library for event sourcing in Python.

  Language:Python1.5k3693130

• nmwsharp/geometry-central

  Applied 3D geometry in C++, with a focus on surface meshes.

  Language:C++1.1k35109154

• microsoft/O-CNN

  O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis

  Language:C++73537149171

• HuguesTHOMAS/KPConv

  Kernel Point Convolutions

  Language:Python72222169132

• wavefrontshaping/complexPyTorch

  A high-level toolbox for using complex valued neural networks in PyTorch

  Language:Python6481128152

• nmwsharp/potpourri3d

  An invigorating blend of 3D geometry tools in Python.

  Language:Python445171735

• MmgTools/mmg

  open source software for bidimensional and tridimensional remeshing

  Language:C3803286120

• rubenwiersma/deltaconv

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

  Language:Jupyter Notebook1385510

• rubenwiersma/hsn

  Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features

  Language:Python877215

• dmsm/HodgeNet

  Code for HodgeNet: Learning Spectral Geometry on Triangle Meshes, in SIGGRAPH 2021.

  Language:Python81369

• rubenwiersma/gravo_mg

  Repository for SIGGRAPH 2023 paper "A Fast Geometric Multigrid Method for Curved Surfaces"

  Language:C++65828

• nmwsharp/vector-heat-demo

  C++ demo of the Vector Heat Method (Sharp, Soliman, and Crane. 2019.)

  Language:C++61537

• ChunyuanLI/spectral_descriptors

  A collection of spectral descriptors for 3D meshed surfaces

  Language:Matlab582116

• sw-gong/MoNet

  Pytorch reproduction of the paper "Gaussian Mixture Model Convolutional Networks" (CVPR 17)

  Language:Python553310

• marvin-eisenberger/deep-shells

  Language:Python42618

• adrienPoulenard/MDGCNN

  Multi Directional Geodesic Convolutional Neural Networks

  Language:C++35336

• llorz/SGA18_orientation_BCICP_code

  code for paper "Continuous and Orientation-preserving Correspondence via Functional Maps"

  Language:MATLAB343210

• davideboscaini/acnn

  Code for the paper "Learning shape correspondence with anisotropic convolutional neural networks"

  Language:Python30318

• mbotsch/polyLaplace

  Source code for serveral papers on discrete Laplace operators on general polygons and polyhedral meshes

  Language:C++29402

• Not-IITian/Weakly-supervised-Deep-Functional-map

  Neurips 2020 paper on weakly supervised deep functional maps for shape matching

  Language:Python25474

• paigautam/CVPR21_FastSinkhornFilters

  Sample code for Fast Sinkhorn Filters - from CVPR 2021

  Language:MATLAB18303

• nicolasdonati/QMaps

  Implementation of Complex Functional Maps

  Language:Jupyter Notebook14215

• craigleili/SRFeat

  SRFeat: Learning Locally Accurate and Globally Consistent Non-Rigid Shape Correspondence (3DV 2022)

  Language:MATLAB11322

• pvnieo/clover

  Pytorch code for "Understanding and Improving Features Learned in Deep Functional Maps" - CVPR 2023

  Language:Python7413