• AutoKeras

  • Referenced in 7 articles [sw33648]
  • Neural Architecture Search System. Neural architecture search (NAS) has been proposed to automatically tune deep ... neural architecture, could be helpful for NAS by enabling more efficient training during the search...
  • ff

  • Referenced in 5 articles [sw23393]
  • unsigned), byte (1 byte signed with NAs), ubyte (1 byte unsigned), short (2 byte signed ... with NAs), ushort (2 byte unsigned), single (4 byte float with NAs). For example ’quad...
  • OpenUH

  • Referenced in 7 articles [sw13038]
  • problems by illustrating its use with the NAS parallel benchmarks and a cloud resolving model...
  • ParADE

  • Referenced in 5 articles [sw14959]
  • runtime system. The experiments with several NAS benchmarks and applications on a Linux-based cluster...
  • missSBM

  • Referenced in 3 articles [sw29258]
  • When a network is partially observed (here, NAs in the adjacency matrix rather than ... underlying process that generates those NAs. ’missSBM’ adjusts the popular stochastic block model from network...
  • FKF

  • Referenced in 4 articles [sw14663]
  • Kalman filter, which can deal with NAs. It is entirely written in C and relies...
  • NORD

  • Referenced in 1 article [sw39038]
  • Neural Architecture Search. Neural Architecture Search (NAS) is a research field investigating the generation ... challenging to execute without adequate experience, NAS enables discovering novel, state-of-the-art architectures ... Nonetheless, successfully implementing NAS processes also requires extensive experience with both neural networks and optimization ... comparing results. Thus, it aims to make NAS more accessible to researchers, as well...
  • NASGym

  • Referenced in 1 article [sw39800]
  • OpenAI Gym environment for Neural Architecture Search (NAS). This is a python package developed ... baselines. It implements the RL steps for NAS, using the Neural Structure Code...
  • FedNAS

  • Referenced in 1 article [sw40627]
  • specifically study AutoFL via Neural Architecture Search (NAS), which can automate the design process ... propose a Federated NAS (FedNAS) algorithm to help scattered workers collaboratively searching for a better...
  • AutoOD

  • Referenced in 1 article [sw41887]
  • laboring trials. Although Neural Architecture Search (NAS) has shown its promise in discovering effective deep ... classification, object detection, and semantic segmentation, contemporary NAS methods are not suitable for outlier detection...
  • VXDL

  • Referenced in 1 article [sw02799]
  • experimental results based on the execution of NAS benchmark on virtual infrastructures, conforming different VXDL...
  • CG-cell

  • Referenced in 1 article [sw10089]
  • benchmark implementation on cell broadband engine. The NAS Conjugate Gradient (CG) benchmark is an important...
  • IDPmisc

  • Referenced in 1 article [sw37314]
  • selecting data by logical vectors, which include NAs. Other functions are especially useful in spectroscopy...
  • COUNTDOWN

  • Referenced in 1 article [sw41592]
  • production Tier-1 system. For the NAS benchmarks, COUNTDOWN saves between 6 and 50 percent...
  • lspls

  • Referenced in 1 article [sw26090]
  • R package lspls: LS-PLS Models. Implements the...
  • GridSec

  • Referenced in 4 articles [sw01927]
  • GridSec: Trusted grid computing with security binding and...
  • PVM-RPC

  • Referenced in 5 articles [sw02914]
  • Client server computing on message passing systems: Experiences...