KinglittleQ / torch-batch-svdLinks
A 100x faster SVD for PyTorch⚡️
☆484Updated 3 years ago
Alternatives and similar repositories for torch-batch-svd
Users that are interested in torch-batch-svd are comparing it to the libraries listed below
Sorting:
- Vector Neurons: A General Framework for SO(3)-Equivariant Networks☆517Updated 3 years ago
- ☆166Updated 3 years ago
- Pytorch Custom CUDA kernel for searchsorted☆137Updated 2 years ago
- Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function☆509Updated 2 years ago
- Deep Declarative Networks☆251Updated 3 months ago
- Geometric loss functions between point clouds, images and volumes☆674Updated 9 months ago
- Learning Gradient Fields for Shape Generation☆200Updated 4 years ago
- Newton and Quasi-Newton optimization with PyTorch☆370Updated this week
- pytorch knn [cuda version]☆312Updated 4 years ago
- RoMa: A lightweight library to deal with 3D rotations in PyTorch.☆622Updated 5 months ago
- Official repo for AutoInt: Automatic Integration for Fast Neural Volume Rendering in CVPR 2021☆189Updated 3 years ago
- ☆79Updated 4 years ago
- PyTorch Wrapper for Earth-Mover-Distance (EMD) for 3D point cloud regression☆311Updated 2 years ago
- Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…☆275Updated 3 years ago
- Computations involving Lie groups and harmonic analysis☆206Updated 11 months ago
- PyTorch 1.0 implementation of the approximate Earth Mover's Distance☆140Updated 6 years ago
- [NeurIPS'20] Multiscale Deep Equilibrium Models☆237Updated 4 years ago
- Adding positional encoding to the input preserves sharp edges in the image☆208Updated 4 years ago
- ☆273Updated 2 years ago
- A PyTorch implementation of L-BFGS.☆624Updated 2 years ago
- Pytorch package to compute Chamfer distance between point sets (pointclouds).☆348Updated last year
- Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.☆109Updated this week
- ☆160Updated last year
- ☆817Updated 8 months ago
- Group Equivariant Convolutional Neural Networks☆103Updated 8 years ago
- A pytorch port of google-research/google-research/robust_loss/☆691Updated 4 months ago
- [CVPR'21] SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data, in PyTorch☆78Updated 3 years ago
- Preconditioned Conjugate Gradient in Pytorch☆141Updated last year
- FML (Francis' Machine-Learnin' Library) - A collection of utilities for machine learning tasks☆36Updated 6 years ago
- Approximate nearest neighbor search with product quantization on GPU in pytorch and cuda☆231Updated 2 years ago