Alternatives and similar repositories for ImpSq

Users that are interested in ImpSq are comparing it to the libraries listed below

• boschresearch / multiplicative-filter-networks
  Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.
  ☆96Updated 4 years ago
• marvin-eisenberger / implicit-sinkhorn
  ☆73Updated 2 years ago
• WeiWangTrento / Robust-Differentiable-SVD
  ☆79Updated 4 years ago
• yilundu / gem
  [NeurIPS 2021] Code for Learning Signal-Agnostic Manifolds of Neural Fields
  ☆68Updated 2 years ago
• gortizji / inr_dictionaries
  Source code of "A structured dictionary perspective on implicit neural representations"
  ☆61Updated 3 years ago
• osiriszjq / Rethinking-positional-encoding
  ☆89Updated last year
• jmclong / random-fourier-features-pytorch
  Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.
  ☆103Updated last week
• kklemon / gon-pytorch
  ☆16Updated 3 years ago
• GlassyWing / fourier-feature-networks
  An unofficial pytorch implementation of 《Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains》
  ☆67Updated 5 years ago
• hahnec / torchimize
  numerical optimization in pytorch
  ☆138Updated last year
• ltatzel / PyTorchHessianFree
  PyTorch implementation of the Hessian-free optimizer
  ☆36Updated last year
• ndahlquist / pytorch-fourier-feature-networks
  Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
  ☆49Updated 5 years ago
• samuelepapa / fit-a-nef
  🚀 A powerful library for efficient training of Neural Fields at scale.
  ☆29Updated last year
• twmitchel / MobiusConv
  Official PyTorch implementation of Möbius Convolutions for Spherical CNNs [SIGGRAPH 2022].
  ☆27Updated last year
• locuslab / deq-ddim
  ☆63Updated 2 years ago
• luckystarufo / SIREN_out_of_sample_tests
  A quick test of SIREN on out-of-sample tasks
  ☆13Updated 5 years ago
• jaeho-lee / MetaSparseINR
  Meta-Learning Sparse Implicit Neural Representations (NeurIPS 2021)
  ☆64Updated 4 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
• lucidrains / differentiable-SDF-pytorch
  Implementation of Differentiable Sign-Distance Function Rendering - in Pytorch
  ☆69Updated 3 years ago
• Typal-Research / jacobian_free_backprop
  Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).
  ☆38Updated 3 years ago
• samuelepapa / neural-field-arena
  ☆12Updated last year
• CW-Huang / CP-Flow
  Convex potential flows
  ☆84Updated 3 years ago
• ANLGBOY / SoftFlow
  PyTorch implementation of SoftFlow
  ☆58Updated 5 years ago
• autonomousvision / frequency_bias
  Official code for "On the Frequency Bias of Generative Models", NeurIPS 2021
  ☆45Updated 3 years ago
• YorkUCVIL / Wavelet-Flow
  Wavelet Flow: Fast Training of High Resolution Normalizing Flows
  ☆60Updated 4 years ago
• thu-ml / implicit-normalizing-flows
  Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)
  ☆36Updated 4 years ago
• mauriceweiler / MobiusCNNs
  This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…
  ☆74Updated last year
• rjbruin / flexconv
  Code repository for the ICLR 2022 paper "FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes" https://openreview.ne…
  ☆116Updated 2 years ago
• qsh-zh / DiffFlow
  [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)
  ☆119Updated 2 years ago
• nasimrahaman / SpectralBias
  Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).
  ☆113Updated 6 years ago