pvjosue / pytorch_convNdLinks
Functional N-dimensional convolution in Pytorch, recursively calling convNd until reaching conv3d.
☆81Updated 9 months ago
Alternatives and similar repositories for pytorch_convNd
Users that are interested in pytorch_convNd are comparing it to the libraries listed below
Sorting:
- High-order spline interpolation in PyTorch☆69Updated last year
- Rudimentary Conv4D Layer Implementation for PyTorch☆40Updated 7 years ago
- Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…☆275Updated 3 years ago
- Implementation of Conv4d for PyTorch☆46Updated 3 years ago
- Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function☆509Updated 2 years ago
- A fully invertible U-Net for memory efficiency in Pytorch.☆130Updated 3 years ago
- wavelet implicit neural representations☆175Updated 2 years ago
- Newton and Quasi-Newton optimization with PyTorch☆372Updated last week
- A high-level, easy-to-deploy non-uniform Fast Fourier Transform in PyTorch.☆248Updated last year
- Use scipy.optimize.minimize as a PyTorch Optimizer.☆74Updated last year
- Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.☆96Updated 4 years ago
- DeepSphere: a graph-based spherical CNN (PyTorch)☆165Updated 3 years ago
- A PyTorch add-on for working with image mappings and displacement fields, including Spatial Transformers☆51Updated 3 years ago
- This is our implementation of a trainable bilateral filter layer (PyTorch)☆56Updated 3 years ago
- numerical optimization in pytorch☆139Updated last year
- Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.☆110Updated this week
- A Pytorch implementation of the mixed-scale dense network described in https://doi.org/10.1073/pnas.1715832114☆24Updated 2 years ago
- Learning for computational imaging system made simple.☆65Updated 5 years ago
- Custom pytorch modules with sane default parameters useful for model prototyping. (U-Net, upsampling, downsampling...)☆65Updated 6 years ago
- Scientific Computational Imaging COde☆148Updated last week
- Preconditioned Conjugate Gradient in Pytorch☆141Updated last year
- Supplemental learning materials for "Fourier Feature Networks and Neural Volume Rendering"☆180Updated 2 years ago
- Code related to the paper "Deep Equilibrium Architectures for Inverse Problems in Imaging"☆37Updated 4 years ago
- Official repo for AutoInt: Automatic Integration for Fast Neural Volume Rendering in CVPR 2021☆189Updated 3 years ago
- This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…☆76Updated 2 years ago
- Implicit^2: Implicit model for implicit neural representations☆29Updated 4 years ago
- Interpolation routines in Pytorch.☆111Updated 5 years ago
- PyTorch implementation of Levenberg-Marquardt training algorithm☆90Updated 2 months ago
- Official Code for "Invert to Learn to Invert" that allows training of invertible networks without storing activations☆37Updated 5 years ago
- Pytorch Custom CUDA kernel for searchsorted☆137Updated 2 years ago