• PONDR-FIT

  • Referenced in 2 articles [sw16904]
  • Here we introduced a consensus artificial neural network (ANN) prediction method, which was developed ... short disordered regions with less than ten residues, as well as for the residues close...
  • YOLOv4

  • Referenced in 1 article [sw40822]
  • which are said to improve Convolutional Neural Network (CNN) accuracy. Practical testing of combinations ... some features, such as batch-normalization and residual-connections, are applicable to the majority...
  • 3DSRNet

  • Referenced in 1 article [sw42560]
  • high resolution frames. Although 2D convolutional neural networks (CNNs) are powerful in modelling images ... high resolution frames, and adopts residual learning in conjunction with the sub-pixel outputs...
  • SwinIR

  • Referenced in 1 article [sw42562]
  • restoration methods are based on convolutional neural networks, few attempts have been made with Transformers ... feature extraction module is composed of several residual Swin Transformer blocks (RSTB), each of which...
  • TFLearn

  • Referenced in 1 article [sw21054]
  • prototyping through highly modular built-in neural network layers, regularizers, optimizers, metrics... Full transparency over ... such as Convolutions, LSTM, BiRNN, BatchNorm, PReLU, Residual networks, Generative networks... In the future, TFLearn...
  • XANNpred

  • Referenced in 1 article [sw16926]
  • XANNpred is a pair of Artificial Neural Networks (XANNpred-PDB, XANNpred-SG). Proteins with XANNpred ... against the centre position of a 61-residue sliding window over the input sequence ... Niekerk, C.A.J., and Barton, G.J. (2011), XANNpred: Neural nets that predict the propensity...
  • FastGRNN

  • Referenced in 1 article [sw40550]
  • Tiny Kilobyte Sized Gated Recurrent Neural Network. This paper develops the FastRNN and FastGRNN algorithms ... FastRNN addresses these limitations by adding a residual connection that does not constrain the range...
  • ADOL-C

  • Referenced in 257 articles [sw00019]
  • ADOL-C: Automatic Differentiation of C/C++. We present...
  • ANSYS

  • Referenced in 713 articles [sw00044]
  • ANSYS offers a comprehensive software suite that spans...
  • ARMS

  • Referenced in 68 articles [sw00048]
  • ARMS: an algebraic recursive multilevel solver for general...
  • Coq

  • Referenced in 1906 articles [sw00161]
  • Coq is a formal proof management system. It...
  • GAP

  • Referenced in 3221 articles [sw00320]
  • GAP is a system for computational discrete algebra...
  • Gmsh

  • Referenced in 783 articles [sw00366]
  • Gmsh is a 3D finite element grid generator...
  • HSL

  • Referenced in 284 articles [sw00418]
  • HSL (formerly the Harwell Subroutine Library) is a...
  • hypre

  • Referenced in 334 articles [sw00426]
  • hypre is a software library for the solution...
  • LAPACK

  • Referenced in 1713 articles [sw00503]
  • LAPACK is written in Fortran 90 and provides...
  • Macaulay2

  • Referenced in 1958 articles [sw00537]
  • Macaulay2 is a software system devoted to supporting...
  • Magma

  • Referenced in 3363 articles [sw00540]
  • Computer algebra system (CAS). Magma is a large...
  • Maple

  • Referenced in 5403 articles [sw00545]
  • The result of over 30 years of cutting...
  • Mathematica

  • Referenced in 6445 articles [sw00554]
  • Almost any workflow involves computing results, and that...