Skip to content
Snippets Groups Projects
Select Git revision
  • 1.7.0
  • 1.7.0b
  • 1.7.0c
  • 2017-11-13
  • 20180114
  • 201911
  • 20200121_pre_presentation_refactor
  • 202010-phospho
  • 3-flank-variant
  • add-class1-ensemble
  • add-class1-ensemble-rebased
  • add-hyperparameters-base
  • antigen-presentation-updates
  • arch2
  • cartesian-product-cli
  • dataset-object
  • docs-pan-motifs
  • fix-commandline-predict-peptide-lengths
  • gh-pages
  • improved-allele-parsing
  • pre-2.1
  • v2.0.1
  • v2.0.0
  • pre-2.0
  • 1.6.1
  • pre-1.7.0
  • pre_presentation_refactor
  • 1.6.0
  • 1.4.0
  • pre-1.4.0
  • pan-dev1
  • 1.2.2
  • 1.2.0
  • pre-1.2.1
  • pre-1.2
  • pre-1.1
  • 1.0.0
  • pre-1.0
  • 0.9.2
  • 0.9.1
40 results
You can move around the graph by using the arrow keys.
Created with Raphaël 2.2.010Feb9876529Jan28272625191817161514222Dec21201911104130Nov28272625241514139813Oct16Aug1510331Jul3027241926Jun2213121125May2423222322211817151017Apr24Mar232221201917161411632128Feb262319161514131211109849Jan12Dec115Oct26Sep171615130Aug3118Jul1224Jun231732121May1918171413111096543229Apr282120bumpv versionfix generateContinually save models as they are trained, even when running in parallelfewer modelssearch fewer hyperparametersfixInclude training data subset as a hyperparameterFixupdate generateupdate GENERATEfixesbetter gpu/cpu allocationmixed gpu / cpu training hackupdate commentsMulti-GPU trainingnew models_class1_unselected downloadFix robust_mean implementationSwitch back to mean instead of robust_mean defaultCache predictions in Class1NeuralNetwork under certain circumstancesWorkaround tqdm issuePerformance enhancement for faster start time: reuse compiled networks even if their regularizations differ. This is safe because regularization should not affect predictionsUpdate curate.pyupdate for 1.1Merge pull request #118 from openvax/20180206Add --version argument to mhcflurry-predictUpdate lint.shupdate docsparallelize cvupdate cross validation downloadupdate cross validation downloadupdate docsfixes for panlazy-load model weightsAdd progress bar to downloadsupdate experimental pan-allele infrabetter handling of default class1 models configurationupdate downloadsMany more models in ensembleupdateupdate models_class1_no_mass_spec