• DP-GEN

  • Referenced in 2 articles [sw36442]
  • learning platform for the generation of reliable deep learning based potential energy models. In recent ... deep learning based interatomic potential energy surface (PES) models have been proposed that can potentially ... this paper, we introduce the Deep Potential GENerator (DP-GEN), an open-source software platform ... capable of generating uniformly accurate deep learning based PES models in a way that minimizes...
  • GNMT

  • Referenced in 13 articles [sw26579]
  • learning approach for automated translation, with the potential to overcome many of the weaknesses ... these issues. Our model consists of a deep LSTM network with 8 encoder ... uses a coverage penalty, which encourages generation of an output sentence that is most likely...
  • FISH_ROCK

  • Referenced in 1 article [sw30453]
  • resolution digital imagery. These images provide the potential for developing a non-invasive technique ... executed within Matlab, and allows users digitally generate a database that includes organism identification, quantity ... different oceanographic environments including the deep sea, and will include modules that perform data analysis...
  • ReDraw

  • Referenced in 1 article [sw36252]
  • software repository mining, automated dynamic analysis, and deep convolutional neural networks are utilized to accurately ... data-driven, K-nearest-neighbors algorithm generates a suitable hierarchical GUI structure from which ... Interviews with industrial practitioners illustrate ReDraw’s potential to improve real development workflows...
  • DeepBlueR

  • Referenced in 0 articles [sw19415]
  • sets. Large amounts of epigenomic data are generated under the umbrella of the International Human ... next few years. These data have the potential to unravel the complexity of epigenomic regulation ... epigenome projects, namely ENCODE, ROADMAP, BLUEPRINT and DEEP. DeepBlue comes with a user manual, examples...
  • AutoGrader

  • Referenced in 0 articles [sw30353]
  • academia and industry to find and eliminate potential defects in the program as early ... follow the process of defect location, candidate generation, candidate verification. However, when the program ... locations in the program. Secondly, the candidate-generation method is used to get the repair ... correct structure of the program through deep learning is learnt to help predict the correct...
  • Coq

  • Referenced in 1807 articles [sw00161]
  • Coq is a formal proof management system. It...
  • Diffpack

  • Referenced in 114 articles [sw00203]
  • As modern programming methodologies migrate from computer science...
  • GAP

  • Referenced in 2876 articles [sw00320]
  • GAP is a system for computational discrete algebra...
  • GeM

  • Referenced in 92 articles [sw00332]
  • We present a recently developed Maple-based “GeM...
  • Gmsh

  • Referenced in 602 articles [sw00366]
  • Gmsh is a 3D finite element grid generator...
  • LAPACK

  • Referenced in 1642 articles [sw00503]
  • LAPACK is written in Fortran 90 and provides...
  • Maple

  • Referenced in 5124 articles [sw00545]
  • The result of over 30 years of cutting...
  • Mathematica

  • Referenced in 5957 articles [sw00554]
  • Almost any workflow involves computing results, and that...
  • Matlab

  • Referenced in 12309 articles [sw00558]
  • MATLAB® is a high-level language and interactive...
  • R

  • Referenced in 8601 articles [sw00771]
  • R is a language and environment for statistical...
  • AUTO

  • Referenced in 885 articles [sw01059]
  • AUTO is a software for continuation and bifurcation...
  • MACSYMA

  • Referenced in 716 articles [sw01209]
  • Macsyma is a general purpose symbolic-numerical-graphical...
  • GAMESS

  • Referenced in 38 articles [sw03002]
  • GAMESS is a program for ab initio molecular...
  • NEURON

  • Referenced in 179 articles [sw03059]
  • Parallel network simulations with NEURON. The NEURON simulation...