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Commits on Jul 3, 2024

• feat: Create DriftDetector abstraction and introduce alibi-detect (#555)

  robinholzi

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  c6622d3

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• Batch evaluation intervals into a single request and a single evaluation process (#554)

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  XianzheMa

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  MaxiBoether

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  b6284f8

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Commits on Jul 2, 2024

• Fix small issues in aggregation script (#553)

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  MaxiBoether

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  a4f167a

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Commits on Jul 1, 2024

• Twin RHO Model Step 2: split the training set and train the twin model (#552)

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  XianzheMa

  authored
  cdf1280

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• Twin RHO Model Step 1: create the Twin RHO Model (#547)

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  XianzheMa

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  60d3baa

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Commits on Jun 27, 2024

• Parameterize drop_last (#550)

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  XianzheMa

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  59ea026

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Commits on Jun 26, 2024

• Add statistics for CGLM dataset (#516)

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  MaxiBoether

  and

  XianzheMa

  authored
  3e86231

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Commits on Jun 25, 2024

• Adding another way of calculating gradients in downsamplers (#540)

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  XianzheMa

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  72ffdca

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• Add cuda-cudart-dev and cuda-profiler-api to environment (#549)

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  MaxiBoether

  authored
  70ce04c

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Commits on Jun 24, 2024

• feat: Refine triggering abstraction (#546)

  robinholzi

  authored
  b1b71c2

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• feat: Add unique sequence number for aggregation into supervisor (#548)

  robinholzi

  authored
  59d8ee9

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• Record training loss (#539)

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  XianzheMa

  authored
  b9e255e

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• feat: Adjust yearbook multi-pipeline experiment (#498)

  robinholzi

  authored
  7d694d0

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• feat: Setup arxiv multi-pipeline experiment (#499)

  robinholzi

  authored
  be4c4fc

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• fix: Allow to ignore certain assertion errors (#545)

  robinholzi

  authored
  42354cf

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Commits on Jun 23, 2024

• Fix batch number (#533)

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  XianzheMa

  authored
  97a2b5f

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• feat: More sophisticated evaluation logic (#534)

  robinholzi

  authored
  57803ea

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Commits on Jun 22, 2024

• Add ratio_max for presampling strategies (#544)

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  MaxiBoether

  authored
  bf96bfa

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• Implement ratio_max scaling for downsamplers (#541)

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  MaxiBoether

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Commits on Jun 21, 2024

• refactor: Simplify yearbook data generation (#523)

  robinholzi

  authored
  70e2a57

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• feat: Log commit sha (#537)

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  robinholzi

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  3dadeac

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Commits on Jun 20, 2024

• fix: Adjust evaluation business logic (#535)

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  robinholzi

  authored
  beb3769

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• Fix recovery in datasets (#527)

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  MaxiBoether

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  c0b0ae8

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• fix: Fix evaluation logic (#532)

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  robinholzi

  authored
  cb0be37

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• Fix unfixed naming inconsistencies (#531)

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  XianzheMa

  authored
  55fef7c

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• Fix inconsistency on passed number of samples in batch-then-sample mode (#515)

  XianzheMa

  authored
  1c2c4cc

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Commits on Jun 19, 2024

• Forward shuffle to trainer server and measure GPU (#526)

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  XianzheMa

  authored
  b046892

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• Fail explicitly in storage when asking for duplicate keys (#530)

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  MaxiBoether

  authored
  84dac1d

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• fix: Adjust active model definition (#528)

  robinholzi

  authored
  db7c934

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• Fix replacement option in loss and gradnorm downsampling (#529)

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  MaxiBoether

  authored
  e6541d3

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• feat: Setup huffpost multi-pipeline experiment (#493)

  robinholzi

  authored
  c52a3d6

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• Fix device for initial RHO-LOSS tensor (#525)

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  MaxiBoether

  authored
  29018c7

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• Multithreaded error handling in storage (#524)

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  MaxiBoether

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  601c2e1

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Commits on Jun 18, 2024

• More robust gRPC connections, using tenacity where possible (#521)

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  MaxiBoether

  authored
  0a511bb

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• Small stability and logging fixes (#522)

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  MaxiBoether

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  75868bb

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