Skip to content
GitLab
Projects Groups Topics Snippets
  • /
  • Help
    • Help
    • Support
    • Community forum
    • Submit feedback
    • Contribute to GitLab
  • Sign in
  • bob.learn.pytorch bob.learn.pytorch
  • Project information
    • Project information
    • Activity
    • Labels
    • Members
  • Repository
    • Repository
    • Files
    • Commits
    • Branches
    • Tags
    • Contributor statistics
    • Graph
    • Compare revisions
  • Issues 1
    • Issues 1
    • List
    • Boards
    • Service Desk
    • Milestones
  • Merge requests 4
    • Merge requests 4
  • CI/CD
    • CI/CD
    • Pipelines
    • Jobs
    • Artifacts
    • Schedules
  • Deployments
    • Deployments
    • Environments
    • Releases
  • Packages and registries
    • Packages and registries
    • Model experiments
  • Monitor
    • Monitor
    • Incidents
  • Analytics
    • Analytics
    • Value stream
    • CI/CD
    • Repository
  • Activity
  • Graph
  • Create a new issue
  • Jobs
  • Commits
  • Issue Boards
Collapse sidebar
  • bobbob
  • bob.learn.pytorchbob.learn.pytorch
  • Merge requests
  • Open 4
  • Merged 41
  • Closed 5
  • All 50

  • Subscribe to RSS feed
  • Resolve "No need to have macOS builds" + updated documentation
    !1 · created May 14, 2018 by Guillaume HEUSCH
    • Closed
    • 1
    updated May 15, 2018
  • Resolve "fix docstrings in datasets"
    !2 · created Jul 17, 2018 by Guillaume HEUSCH
    • Merged
    • 0
    updated Jul 18, 2018
  • Resolve "Add unit tests"
    !3 · created Jul 20, 2018 by Guillaume HEUSCH
    • Merged
    • 0
    updated Jul 23, 2018
  • Resolve "Add GANs"
    !4 · created Jul 23, 2018 by Guillaume HEUSCH
    • Merged
    • 0
    updated Jul 24, 2018
  • updated .gitlab-ci.yml with latest one
    !5 · created Jan 17, 2019 by Guillaume HEUSCH
    • Merged
    • 0
    updated Jan 21, 2019
  • autoencoders pretraining using RGB faces
    !6 · created Jan 21, 2019 by Olegs NIKISINS
    • Merged
    • 18
    updated Jan 23, 2019
  • Fine-tuning of autoencoders on multi-channel data
    !7 · created Jan 24, 2019 by Olegs NIKISINS
    • Merged
    • 2
    updated Jan 28, 2019
  • Added an option to return a latent embedding to the ConvAutoencoder class + unit test for this case
    !8 · created Jan 29, 2019 by Olegs NIKISINS
    • Merged
    • 0
    updated Jan 29, 2019
  • Light cnn
    !9 · created Jan 29, 2019 by Guillaume HEUSCH
    • Merged
    • 0
    updated Jan 29, 2019
  • Add fargo dataset
    !10 · created Jan 30, 2019 by Guillaume HEUSCH
    • Merged
    • 0
    updated Jan 30, 2019
  • Fixed a bug in the ConvAutoencoder
    !11 · created Jan 30, 2019 by Olegs NIKISINS
    • Merged
    • 0
    updated Jan 31, 2019
  • Modified the data_folder to be more generic
    !12 · created Jan 31, 2019 by Guillaume HEUSCH
    • Merged
    • 5
    updated Feb 04, 2019
  • [architectures, trainer] added LightCNN29 and LightCNN29v2 as well
    !13 · created Jan 31, 2019 by Guillaume HEUSCH
    • Merged
    • 1
    updated Jan 31, 2019
  • MLP class and config to train it
    !14 · created Feb 01, 2019 by Olegs NIKISINS
    • Merged
    • 33
    updated Feb 07, 2019
  • modified the ToTensor transform to properly work with grasyscale images
    !15 · created Feb 04, 2019 by Guillaume HEUSCH
    • Merged
    • 0
    updated Feb 04, 2019
  • New place to put extactors
    !16 · created Feb 04, 2019 by Guillaume HEUSCH
    • Merged
    • 12
    updated Feb 06, 2019
  • Mccn extended
    !17 · created Feb 04, 2019 by Anjith GEORGE
    • Merged
    • 7
    updated Feb 05, 2019
  • MCCNN trainer
    !18 · created Feb 05, 2019 by Anjith GEORGE
    • Merged
    • 7
    updated Feb 08, 2019
  • Add audio extractor
    !19 · created Feb 05, 2019 by Saeed SARFJOO
    • Merged
    • 15
    updated Feb 12, 2019
  • Mccn trainer
    !20 · created Feb 11, 2019 by Anjith GEORGE
    • Merged
    • 3
    updated Feb 18, 2019
  • Prev
  • 1
  • 2
  • 3
  • Next