Alternatives and similar repositories for cvlab-kubernetes-guide

Users that are interested in cvlab-kubernetes-guide are comparing it to the libraries listed below

• KinglittleQ / torch-batch-svd
  A 100x faster SVD for PyTorch⚡️
  ☆483Updated 3 years ago
• CVLAB-Unibo / inr2vec
  Deep Learning on Implicit Neural Representations of Shapes (ICLR 2023)
  ☆57Updated last year
• fwilliams / scalable-pytorch-sinkhorn
  ☆162Updated 3 years ago
• sukjulian / lab-gatr
  Official implementation of geometric algebra transformers for large biomedical surface and volume meshes (LaB-GATr)
  ☆32Updated this week
• nmwsharp / diffusion-net
  Pytorch implementation of DiffusionNet for fast and robust learning on 3D surfaces like meshes or point clouds.
  ☆469Updated 3 years ago
• jonbarron / tabilize
  Simple code for generating a color-coded latex table from raw data
  ☆208Updated 6 months ago
• amosgropp / IGR
  Implicit Geometric Regularization for Learning Shapes
  ☆436Updated 3 years ago
• riccardomarin / SpectralShapeAnalysis
  ☆14Updated 4 years ago
• DominikPenk / mesh-signatures
  A small project implementing different per-vertex mesh signatures.
  ☆41Updated last year
• FlyingGiraffe / vnn
  Vector Neurons: A General Framework for SO(3)-Equivariant Networks
  ☆506Updated 2 years ago
• rubenwiersma / deltaconv
  Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."
  ☆146Updated 2 years ago
• bruel-gabrielsson / TopologyLayer
  A Topology Layer for Machine Learning : Persistent Homology + Features for PyTorch
  ☆416Updated last year
• matanatz / SAL
  SAL: Sign Agnostic Learning of Shapes From Raw Data
  ☆88Updated 4 years ago
• Siwensun / Neural_Diffeomorphic_Flow--NDF
  ☆42Updated last year
• GiovanniTRA / transmatching
  ☆23Updated 3 years ago
• vsitzmann / metasdf
  Official implementation of "MetaSDF: Meta-learning Signed Distance Functions"
  ☆144Updated 4 years ago
• arnab39 / equiadapt
  Library to make any existing neural network architecture equivariant
  ☆55Updated last year
• stevenygd / NFGP
  Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.
  ☆204Updated 2 years ago
• RuojinCai / ShapeGF
  Learning Gradient Fields for Shape Generation
  ☆199Updated 4 years ago
• arturs-berzins / boundary_sensitivity
  Interactive demo of semantic editing of 3D shapes.
  ☆17Updated last year
• MIT-SPARK / PD-MeshNet
  Primal-Dual Mesh Convolutional Neural Networks
  ☆114Updated 3 years ago
• emmanuel-hartman / H2_SurfaceMatch
  ☆20Updated last year
• cvlab-epfl / MeshSDF
  Code for "MeshSDF: Differentiable Iso-Surface Extraction", NeurIPS2020, SpotLight
  ☆240Updated 3 years ago
• jchibane / ndf
  Neural Unsigned Distance Fields (NDF) - Codebase
  ☆201Updated 3 years ago
• RobinMagnet / pyFM
  Python implementation of Functional Maps
  ☆137Updated 3 weeks ago
• otaheri / chamfer_distance
  Implementation of the Chamfer Distance as a module for PyTorch
  ☆180Updated 2 years ago
• autonomousvision / shape_as_points
  [NeurIPS'21] Shape As Points: A Differentiable Poisson Solver
  ☆625Updated 3 years ago
• maurock / DeepSDF
  Simple and intuitive implementation of DeepSDF that you can install with a single line of code.
  ☆101Updated 2 years ago
• M-leng / HyperSDFusion-Text2Shape
  Code for "HyperSDFusion: Bridging Hierarchical Structures in Language and Geometry for Enhanced 3D Text2Shape Generation" CVPR2024
  ☆11Updated last year
• krrish94 / chamferdist
  Pytorch package to compute Chamfer distance between point sets (pointclouds).
  ☆347Updated last year