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  • NetNGlyc
  • Referenced in 2 articles [sw27720]
  • Glycosylation sites in human proteins using artificial neural networks that examine the sequence context...

  • NNC
  • Referenced in 2 articles [sw29895]
  • Grammatical Evolution. The method constructs artificial neural networks in a C – like programming language...

  • MiniSom
  • Referenced in 2 articles [sw41676]
  • type of Artificial Neural Network able to convert complex, nonlinear statistical relationships between high-dimensional...

  • OpenVino
  • Referenced in 2 articles [sw36238]
  • others. Based on latest generations of artificial neural networks, including Convolutional Neural Networks (CNNs), recurrent...

  • PONDR-FIT
  • Referenced in 2 articles [sw16904]
  • investigations. Here we introduced a consensus artificial neural network (ANN) prediction method, which was developed...

  • Cox-nnet
  • Referenced in 1 article [sw41010]
  • nnet: An artificial neural network method for prognosis prediction of high-throughput omics data. Artificial...

  • NICO
  • Referenced in 1 article [sw27599]
  • Inference COmputation): The NICO toolkit for artificial neural networks. Although it is mainly intended ... general purpose toolkit for constructing artificial neural networks and training with the back-propagation learning...

  • SPARTA+
  • Referenced in 1 article [sw15078]
  • shift prediction by means of an artificial neural network. NMR chemical shifts provide important local ... program, SPARTA+, which is based on artificial neural networking. The neural network is trained...

  • Anncolvar
  • Referenced in 1 article [sw40906]
  • Approximation of Complex Collective Variables by Artificial Neural Networks for Analysis and Biasing of Molecular ... possible to build and train an artificial neural network model that approximates a collective variable...

  • DLL
  • Referenced in 1 article [sw38609]
  • neural networks such as fully-connected Artificial Neural Networks (ANNs) and Convolutional Neural Networks (CNNs...

  • neural-network-states
  • Referenced in 1 article [sw34798]
  • leverage the representational power of artificial neural networks, in particular Restricted Boltzmann Machines, in order...

  • TREPPS
  • Referenced in 1 article [sw12756]
  • such as: (a) fuzzy sets, (b) artificial neural networks, (c) evolutionary computing, (d) swarm intelligence...

  • SNN toolbox
  • Referenced in 1 article [sw41929]
  • toolbox: Spiking neural network conversion toolbox. The SNN conversion toolbox ... framework to transform rate-based artificial neural networks into spiking neural networks...

  • nnlib2
  • Referenced in 1 article [sw38662]
  • classes and templates for creating Artificial Neural Networks...

  • ECabc
  • Referenced in 1 article [sw29495]
  • feature tuning program focused on Artificial Neural Network hyperparameters. ECabc is a generic, small scale ... feature tuning program based on the Artificial Bee Colony by N. Karboga that imitates...

  • NeuroCharter
  • Referenced in 1 article [sw27410]
  • NeuroCharter: A Neural Networks Software to Visually Discover the Effects and Contributions between Interrelated Features ... prediction problems in scientific research through artificial neural networks. The program is designed mainly...

  • Fast-DENSER
  • Referenced in 1 article [sw38583]
  • Fast-DENSER: Fast Deep Evolutionary Network Structured Representation. This paper introduces a grammar-based general ... search and deployment of potentially Deep Artificial Neural Networks (DANNs). The approach is known...

  • IDRLnet
  • Referenced in 1 article [sw39547]
  • Informed Neural Network Library. Physics Informed Neural Network (PINN) is a scientific computing framework used ... incorporate geometric objects, data sources, artificial neural networks, loss metrics, and optimizers within Python. Furthermore...

  • CodeNet
  • Referenced in 1 article [sw30730]
  • strategy to make distributed training of neural networks resilient to computing errors, a problem that ... problem remains open, even as massive artificial neural networks are being trained on increasingly...

  • MacaquePose
  • Referenced in 1 article [sw41002]
  • dataset allowing training of a deep neural network for the macaque’s markerless motion capture ... dataset by training and evaluating an artificial neural network with the dataset. The results indicated...