• SPORCO

  • Referenced in 3 articles [sw26283]
  • Python package for standard and convolutional sparse representations. SParse Optimization Research COde (SPORCO). This library...
  • SPLATNet

  • Referenced in 4 articles [sw36664]
  • sparse set of samples in a high-dimensional lattice. Naively applying convolutions on this lattice ... lattice increases. Instead, our network uses sparse bilateral convolutional layers as building blocks. These layers...
  • Vote3Deep

  • Referenced in 2 articles [sw41378]
  • feature-centric voting scheme to implement novel convolutional layers which explicitly exploit the sparsity encountered ... first work to propose sparse convolutional layers and L1 regularisation for efficient large-scale processing...
  • Taichi

  • Referenced in 2 articles [sw40894]
  • create a wide range of multi-level sparse data structures. This decoupling of data structures ... projection, volumetric path tracing, and 3D convolution on sparse grids. Our computation-data structure decoupling...
  • LIBXSMM

  • Referenced in 11 articles [sw23238]
  • sparse matrix-matrix multiplications as well as for deep learning primitives such as small convolutions...
  • OctNet

  • Referenced in 10 articles [sw36665]
  • with sparse 3D data. In contrast to existing models, our representation enables 3D convolutional networks...
  • MinkowskiEngine

  • Referenced in 3 articles [sw41049]
  • layers such as convolution, pooling, unpooling, and broadcasting operations for sparse tensors. For more information...
  • SegNet

  • Referenced in 27 articles [sw27575]
  • network is topologically identical to the 13 convolutional layers in the VGG16 network. The role ... learning to upsample. The upsampled maps are sparse and are then convolved with trainable filters...
  • CayleyNets

  • Referenced in 5 articles [sw38090]
  • paper, we introduce a new spectral domain convolutional architecture for deep learning on graphs ... size of the input data for sparsely-connected graphs, and can handle different constructions ... approach, in comparison to other spectral domain convolutional architectures, on spectral image classification, community detection...
  • unet

  • Referenced in 1 article [sw32335]
  • Ronneberger et al. 2015, U-Net: Convolutional Networks for Biomedical Image Segmentation. The 3D version ... Learning Dense Volumetric Segmentation from Sparse Annotation...
  • NxTF

  • Referenced in 1 article [sw38430]
  • efficient event-driven processing of spatio-temporally sparse data streams. SNNs have inspired the design ... Keras and compiler optimized for mapping deep convolutional SNNs to the multi-core Intel Loihi ... models converted from traditional DNNs, processing both sparse event-based and dense frame-based data...
  • GAP

  • Referenced in 3189 articles [sw00320]
  • GAP is a system for computational discrete algebra...
  • GAUSS

  • Referenced in 119 articles [sw00322]
  • The GAUSS Mathematical and Statistical System is a...
  • Gerris

  • Referenced in 344 articles [sw00341]
  • Gerris is a Free Software program for the...
  • gmp

  • Referenced in 282 articles [sw00363]
  • GMP is a free library for arbitrary precision...
  • Gmsh

  • Referenced in 767 articles [sw00366]
  • Gmsh is a 3D finite element grid generator...
  • LAPACK

  • Referenced in 1702 articles [sw00503]
  • LAPACK is written in Fortran 90 and provides...
  • LSQR

  • Referenced in 394 articles [sw00530]
  • Algorithm 583: LSQR: Sparse Linear Equations and Least...
  • Magma

  • Referenced in 3315 articles [sw00540]
  • Computer algebra system (CAS). Magma is a large...
  • Maple

  • Referenced in 5373 articles [sw00545]
  • The result of over 30 years of cutting...