AtomAI

Notes

  • ReadMe
  • LICENSE
  • Scientific output

Package Content

  • AtomAI Models
  • Trainers and Predictors
  • Neural Nets
  • Statistical Analysis
  • Loss Functions and Metrics
  • Other utilities

Examples

  • Colab notebooks
AtomAI
  • Overview: module code

All modules for which code is available

  • atomai.losses_metrics.losses
  • atomai.losses_metrics.metrics
  • atomai.models.denoiser
  • atomai.models.dgm.jrvae
  • atomai.models.dgm.jvae
  • atomai.models.dgm.rvae
  • atomai.models.dgm.vae
  • atomai.models.dklgp.dklgpr
  • atomai.models.imspec
  • atomai.models.loaders
  • atomai.models.sam
  • atomai.models.segmentor
  • atomai.nets.blocks
  • atomai.nets.ed
  • atomai.nets.fcnn
  • atomai.predictors.epredictor
  • atomai.predictors.predictor
  • atomai.stat.fft_nmf
  • atomai.stat.multivar
  • atomai.stat.unmixer
  • atomai.trainers.etrainer
  • atomai.trainers.trainer
  • atomai.trainers.vitrainer
  • atomai.transforms.imaug
  • atomai.utils.aseutils
  • atomai.utils.coords
  • atomai.utils.datasets
  • atomai.utils.img
  • atomai.utils.imgen
  • atomai.utils.preproc
  • atomai.utils.viz

© Copyright 2021, Maxim Ziatdinov.

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