Alternatives and similar repositories for pytorch-conv4d

Users that are interested in pytorch-conv4d are comparing it to the libraries listed below

• pvjosue / pytorch_convNd
  Functional N-dimensional convolution in Pytorch, recursively calling convNd until reaching conv3d.
  ☆81Updated 7 months ago
• cetmann / iunets
  A fully invertible U-Net for memory efficiency in Pytorch.
  ☆130Updated 3 years ago
• pputzky / invertible_rim
  Official Code for "Invert to Learn to Invert" that allows training of invertible networks without storing activations
  ☆37Updated 5 years ago
• VLOGroup / tdv
  Total Deep Variation Regularizer
  ☆51Updated 4 years ago
• benMen87 / ApproximateConvolutionalSparseCoding
  An implementation of approximate convolutional sparse coding (CSC) based on paper: https://arxiv.org/abs/1711.00328
  ☆42Updated 3 years ago
• jleuschn / dival
  Deep Inversion Validation Library
  ☆82Updated 10 months ago
• reinhardh / supplement_deep_decoder
  ☆98Updated 6 years ago
• mmuckley / torchkbnufft
  A high-level, easy-to-deploy non-uniform Fast Fourier Transform in PyTorch.
  ☆245Updated last year
• juglab / PPN2V
  Code Implementation for the publication "Fully Unsupervised Probabilistic Noise2Void"
  ☆56Updated 2 years ago
• juglab / FourierImageTransformer
  Fourier Image Transformer (FIT) can solve relevant image analysis tasks in Fourier space.
  ☆101Updated 3 years ago
• dgilton / deep_equilibrium_inverse
  Code related to the paper "Deep Equilibrium Architectures for Inverse Problems in Imaging"
  ☆37Updated 4 years ago
• yuta-hi / pytorch_similarity
  Similarity Measure. Re-implementation for PyTorch.
  ☆53Updated 5 years ago
• drorsimon / CSCNet
  Code for the paper "Rethinking the CSC Model for Natural Images"
  ☆31Updated 2 years ago
• f-dangel / unfoldNd
  (N=1,2,3)-dimensional unfold (im2col) and fold (col2im) in PyTorch
  ☆104Updated 11 months ago
• faebstn96 / trainable-bilateral-filter-source
  This is our implementation of a trainable bilateral filter layer (PyTorch)
  ☆56Updated 3 years ago
• MLI-lab / cs_deep_decoder
  ☆16Updated 5 years ago
• davevanveen / compsensing_dip
  Compressed sensing with deep image prior algorithm
  ☆64Updated last year
• oterobaguer / dip-ct-benchmark
  Computed Tomography Reconstruction Using DeepImage Prior and Learned Reconstruction Methods
  ☆35Updated 5 years ago
• fkodom / fft-conv-pytorch
  Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.
  ☆514Updated 2 years ago
• Magauiya / Extended_SURE
  NeurIPS 2019 Accepted - Extending Stein's Unbiased Risk Estimator to Train Deep Denoisers with Correlated Pairs of Noisy Images
  ☆19Updated 3 years ago
• juglab / pn2v
  This is our implementation of Probabilistic Noise2Void
  ☆77Updated 2 years ago
• yinhaoz / denoising-fluorescence
  CVPR 2019: Fluorescence Microscopy Denoising (FMD) dataset
  ☆142Updated 6 years ago
• czbiohub-sf / noise2self
  A framework for blind denoising with self-supervision.
  ☆365Updated 5 years ago
• pputzky / irim_fastMRI
  i-RIM applied to the fastMRI challenge data.
  ☆28Updated 4 years ago
• fengwang / MCNN
  Demo of Multi-scale Deep Convolutional Neural Networks
  ☆54Updated 3 years ago
• tum-vision / learn_prox_ops
  Implementation of "Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems"
  ☆48Updated 5 years ago
• balbasty / torch-interpol
  High-order spline interpolation in PyTorch
  ☆68Updated last year
• ZhengyuLiang24 / Conv4d-PyTorch
  Implementation of Conv4d for PyTorch
  ☆44Updated 3 years ago
• hanyoseob / pytorch-noise2void
  Noise2Void - Learning Denoising from Single Noisy Images
  ☆144Updated 4 years ago
• adler-j / learned_primal_dual
  Learned Primal-Dual Reconstruction
  ☆105Updated 6 years ago