Alternatives and similar repositories for deepsphere-pytorch

Users that are interested in deepsphere-pytorch are comparing it to the libraries listed below

• deepsphere / deepsphere-cosmo-tf1
  A spherical convolutional neural network for cosmology (TFv1).
  ☆133Updated 4 years ago
• maxjiang93 / ugscnn
  Spherical CNNs on Unstructured Grids Using Parameterized Differential Operators
  ☆168Updated 2 years ago
• danielegrattarola / GINR
  Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).
  ☆71Updated 2 years ago
• deepsphere / deepsphere-tf1
  DeepSphere: a graph-based spherical CNN (TensorFlow)
  ☆15Updated 4 years ago
• mauriceweiler / MobiusCNNs
  This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…
  ☆72Updated last year
• AMLab-Amsterdam / lie_learn
  Computations involving Lie groups and harmonic analysis
  ☆206Updated 7 months ago
• mfinzi / LieConv
  ☆274Updated 2 years ago
• sbarratt / torch_interpolations
  Interpolation routines in Pytorch.
  ☆111Updated 4 years ago
• Qualcomm-AI-research / gauge-equivariant-mesh-cnn
  ☆62Updated 2 years ago
• daniilidis-group / swscnn
  Demo source code for the paper "Spin-Weighted Spherical CNNs".
  ☆23Updated 3 years ago
• patrick-kidger / torchcubicspline
  Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…
  ☆263Updated 2 years ago
• fwilliams / scalable-pytorch-sinkhorn
  ☆158Updated 2 years ago
• adambielski / GrouPy
  Group Equivariant Convolutional Neural Networks
  ☆102Updated 7 years ago
• locuslab / ImpSq
  Implicit^2: Implicit model for implicit neural representations
  ☆29Updated 3 years ago
• zlin7 / CGNet
  ☆70Updated 2 years ago
• jmclong / random-fourier-features-pytorch
  Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.
  ☆100Updated last week
• nimadehmamy / L-conv-code
  Lie Algebra Convolutional Network implementation
  ☆43Updated 3 years ago
• rusty1s / pytorch_spline_conv
  Implementation of the Spline-Based Convolution Operator of SplineCNN in PyTorch
  ☆182Updated last month
• jw9730 / setvae
  [CVPR'21] SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data, in PyTorch
  ☆76Updated 2 years ago
• danielewworrall / deep-scale-spaces
  Supporting code for Deep Scale Spaces: Equivariance Over Scale
  ☆23Updated 5 years ago
• marvin-eisenberger / implicit-sinkhorn
  ☆73Updated 2 years ago
• aliutkus / torchinterp1d
  1D interpolation for pytorch
  ☆173Updated last year
• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆120Updated 2 years ago
• boschresearch / multiplicative-filter-networks
  Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.
  ☆96Updated 4 years ago
• nasimrahaman / SpectralBias
  Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).
  ☆111Updated 6 years ago
• daniilidis-group / spherical-cnn
  Demo code for the paper "Learning SO(3) Equivariant Representations with Spherical CNNs"
  ☆297Updated 3 years ago
• xqding / RealNVP
  A PyTorch Implementation of Density Estimation Using Real NVP
  ☆77Updated 4 years ago
• massastrello / awesome-implicit-neural-models
  ☆103Updated 4 years ago
• WeiWangTrento / Robust-Differentiable-SVD
  ☆79Updated 4 years ago
• sbarratt / torch_cg
  Preconditioned Conjugate Gradient in Pytorch
  ☆140Updated last year