Alternatives and similar repositories for Robust-Differentiable-SVD:

Users that are interested in Robust-Differentiable-SVD are comparing it to the libraries listed below

• cvlab-epfl / Power-Iteration-SVD
  Backpropagation-Friendly-Eigendecomposition
  ☆72Updated 5 years ago
• marvin-eisenberger / implicit-sinkhorn
  ☆70Updated 2 years ago
• KingJamesSong / FastDifferentiableMatSqrt
  ICLR22 "Fast Differentiable Matrix Square Root" and T-PAMI extension
  ☆60Updated 4 months ago
• gortizji / inr_dictionaries
  Source code of "A structured dictionary perspective on implicit neural representations"
  ☆58Updated 3 years ago
• KingJamesSong / DifferentiableSVD
  A collection of differentiable SVD methods and ICCV21 "Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance P…
  ☆77Updated last year
• raymondyeh07 / tv_layers_for_cv
  [CVPR2022] Total Variation Optimization Layers for Computer Vision
  ☆45Updated last year
• yilundu / gem
  [NeurIPS 2021] Code for Learning Signal-Agnostic Manifolds of Neural Fields
  ☆68Updated 2 years ago
• VITA-Group / INSP
  [NeurIPS 2022] "Signal Processing for Implicit Neural Representations" by Dejia Xu*, Peihao Wang*, Yifan Jiang, Zhiwen Fan, Zhangyang Wan…
  ☆52Updated 2 years ago
• ISosnovik / sesn
  Code for "Scale-Equivariant Steerable Networks"
  ☆69Updated 4 years ago
• autonomousvision / frequency_bias
  Official code for "On the Frequency Bias of Generative Models", NeurIPS 2021
  ☆45Updated 3 years ago
• boschresearch / multiplicative-filter-networks
  Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.
  ☆93Updated 3 years ago
• lucidrains / differentiable-SDF-pytorch
  Implementation of Differentiable Sign-Distance Function Rendering - in Pytorch
  ☆68Updated 2 years ago
• locuslab / ImpSq
  Implicit^2: Implicit model for implicit neural representations
  ☆28Updated 3 years ago
• vsitzmann / neural-isometries
  Official JAX implementation of neural isometries - taming transformations for equivariant ML
  ☆35Updated 8 months ago
• fwilliams / scalable-pytorch-sinkhorn
  ☆148Updated 2 years ago
• vcg-uvic / linearized_multisampling_release
  Code release for ICCV 2019 Oral, "Linearized Multi-Sampling for Differentiable Image Transformation"
  ☆52Updated last year
• janisgp / go_with_the_flows
  Official implementation of "Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generationand Reconstruction"
  ☆12Updated 3 years ago
• Typal-Research / jacobian_free_backprop
  Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).
  ☆35Updated 3 years ago
• ndahlquist / pytorch-fourier-feature-networks
  Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
  ☆47Updated 4 years ago
• FrederikWarburg / LaplaceAE
  ☆32Updated 2 years ago
• osiriszjq / complex_encoding
  Trading Positional Complexity vs Deepness in Coordinate Networks
  ☆30Updated last year
• frobelbest / LSM
  LSM: Learning Subspace Minimization for Low-Level Vision (CVPR'2020)
  ☆45Updated 4 years ago
• danielewworrall / deep-scale-spaces
  Supporting code for Deep Scale Spaces: Equivariance Over Scale
  ☆22Updated 5 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
• fwilliams / fml
  FML (Francis' Machine-Learnin' Library) - A collection of utilities for machine learning tasks
  ☆35Updated 6 years ago
• GlassyWing / fourier-feature-networks
  An unofficial pytorch implementation of 《Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains》
  ☆66Updated 4 years ago
• twmitchel / FieldConv
  Official implementation of Field Convolutions for Surface CNNs [ICCV 2021 Oral]
  ☆17Updated 10 months ago
• nasimrahaman / SpectralBias
  Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).
  ☆105Updated 5 years ago
• YorkUCVIL / Wavelet-Flow
  Wavelet Flow: Fast Training of High Resolution Normalizing Flows
  ☆59Updated 3 years ago
• samuelepapa / fit-a-nef
  🚀 A powerful library for efficient training of Neural Fields at scale.
  ☆28Updated last year