Alternatives and similar repositories for pytorch_convNd

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

• balbasty / torch-interpol
  High-order spline interpolation in PyTorch
  ☆68Updated last year
• mmuckley / torchkbnufft
  A high-level, easy-to-deploy non-uniform Fast Fourier Transform in PyTorch.
  ☆239Updated 11 months ago
• timothygebhard / pytorch-conv4d
  Rudimentary Conv4D Layer Implementation for PyTorch
  ☆40Updated 6 years ago
• patrick-kidger / torchcubicspline
  Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…
  ☆270Updated 3 years ago
• lucidrains / siren-pytorch
  Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function
  ☆505Updated 2 years ago
• cetmann / iunets
  A fully invertible U-Net for memory efficiency in Pytorch.
  ☆129Updated 3 years ago
• boschresearch / multiplicative-filter-networks
  Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.
  ☆96Updated 4 years ago
• vishwa91 / wire
  wavelet implicit neural representations
  ☆167Updated 2 years ago
• ZhengyuLiang24 / Conv4d-PyTorch
  Implementation of Conv4d for PyTorch
  ☆44Updated 2 years ago
• seung-lab / torchfields
  A PyTorch add-on for working with image mappings and displacement fields, including Spatial Transformers
  ☆52Updated 3 years ago
• deepsphere / deepsphere-pytorch
  DeepSphere: a graph-based spherical CNN (PyTorch)
  ☆162Updated 3 years ago
• kellman / physics_based_learning
  Learning for computational imaging system made simple.
  ☆65Updated 4 years ago
• vsitzmann / pytorch_prototyping
  Custom pytorch modules with sane default parameters useful for model prototyping. (U-Net, upsampling, downsampling...)
  ☆65Updated 6 years ago
• rfeinman / pytorch-minimize
  Newton and Quasi-Newton optimization with PyTorch
  ☆368Updated 5 months ago
• matajoh / fourier_feature_nets
  Supplemental learning materials for "Fourier Feature Networks and Neural Volume Rendering"
  ☆179Updated 2 years ago
• dgilton / deep_equilibrium_inverse
  Code related to the paper "Deep Equilibrium Architectures for Inverse Problems in Imaging"
  ☆37Updated 4 years ago
• computational-imaging / automatic-integration
  Official repo for AutoInt: Automatic Integration for Fast Neural Volume Rendering in CVPR 2021
  ☆188Updated 2 years ago
• rogerberm / pytorch-ncc
  Normalized Cross-Correlation in pytorch
  ☆43Updated 3 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.
  ☆103Updated this week
• ahendriksen / msd_pytorch
  A Pytorch implementation of the mixed-scale dense network described in https://doi.org/10.1073/pnas.1715832114
  ☆24Updated last year
• samuelepapa / fit-a-nef
  🚀 A powerful library for efficient training of Neural Fields at scale.
  ☆29Updated last year
• ndahlquist / pytorch-fourier-feature-networks
  Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
  ☆49Updated 5 years ago
• faebstn96 / trainable-bilateral-filter-source
  This is our implementation of a trainable bilateral filter layer (PyTorch)
  ☆56Updated 3 years ago
• fwilliams / scalable-pytorch-sinkhorn
  ☆161Updated 3 years ago
• juglab / FourierImageTransformer
  Fourier Image Transformer (FIT) can solve relevant image analysis tasks in Fourier space.
  ☆100Updated 3 years ago
• tancik / learnit
  ☆175Updated 4 years ago
• sbarratt / torch_interpolations
  Interpolation routines in Pytorch.
  ☆111Updated 4 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
• aliutkus / torchinterp1d
  1D interpolation for pytorch
  ☆174Updated last year
• bobby-he / uncertainr
  ☆17Updated 2 years ago