balbasty / torch-interpolLinks
High-order spline interpolation in PyTorch
☆69Updated last year
Alternatives and similar repositories for torch-interpol
Users that are interested in torch-interpol are comparing it to the libraries listed below
Sorting:
- A PyTorch add-on for working with image mappings and displacement fields, including Spatial Transformers☆51Updated 3 years ago
- A fully invertible U-Net for memory efficiency in Pytorch.☆130Updated 3 years ago
- Functional N-dimensional convolution in Pytorch, recursively calling convNd until reaching conv3d.☆81Updated 9 months ago
- A high-level, easy-to-deploy non-uniform Fast Fourier Transform in PyTorch.☆248Updated last year
- A Pytorch implementation of the mixed-scale dense network described in https://doi.org/10.1073/pnas.1715832114☆24Updated 2 years ago
- ☆18Updated 2 years ago
- 🚀 A powerful library for efficient training of Neural Fields at scale.☆29Updated 2 years ago
- Similarity Measure. Re-implementation for PyTorch.☆53Updated 5 years ago
- Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…☆276Updated 3 years ago
- ☆36Updated 3 years ago
- Cubic spline interpolation on multidimensional grids in PyTorch☆34Updated 3 weeks ago
- Python Implementation of the LDDMM algorithm☆56Updated 5 years ago
- wavelet implicit neural representations☆176Updated 2 years ago
- Official Code for "Invert to Learn to Invert" that allows training of invertible networks without storing activations☆37Updated 5 years ago
- Geometric morphometrics in non-Euclidean shape spaces.☆49Updated 6 months ago
- The source code for the Layer Ensembles paper published in MICCAI 2022 (Singapore).☆27Updated 3 years ago
- Code accompanying "Noise2Inverse: Self-supervised deep convolutional denoising for linear image reconstruction"☆40Updated 4 years ago
- CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuou…☆50Updated 4 years ago
- This is our implementation of Probabilistic Noise2Void☆77Updated 2 years ago
- Official PyTorch implementation of Möbius Convolutions for Spherical CNNs [SIGGRAPH 2022].☆26Updated last year
- Rotationally and translationally equivariant layers and networks for deep learning on diffusion MRI scans☆24Updated 4 years ago
- ☆16Updated 4 years ago
- Fast Implementation of Generalised Geodesic Distance Transform for CPU (OpenMP) and GPU (CUDA)☆106Updated 2 years ago
- Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains☆51Updated 5 years ago
- DeepSphere: a graph-based spherical CNN (PyTorch)☆165Updated 3 years ago
- VQ-VAE + Transformer based synthesis of 3D anatomical imaging data☆62Updated 3 years ago
- Learning for computational imaging system made simple.☆65Updated 5 years ago
- Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.☆110Updated this week
- Euclidean distance transform in pytorch☆21Updated last year
- Deep inverse problems in Python☆61Updated 6 months ago