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This repository has been archived by the owner on Jul 18, 2024. It is now read-only.

Releases: IBM/pytorchpipe

0.2.1 release

06 Jul 01:13
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What's new:

  • Refined the readme file
  • Included quick start
  • Included tutorial presentation

0.2.0 release

03 Jul 00:48
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What's new:

  • Refactor: Problems -> Tasks
  • Refactor: DataDict -> DataStreams
  • Code cleanup and reorganization of all components
  • 2 new VQA Tasks: CLEVR and GQA

Most important changes are listed in the associated project:
https://github.com/IBM/pytorchpipe/projects/7

0.1.0 release

03 Jul 00:47
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First official release of PTP!

Features:

  • 3 universal, configurable workers: scripts for training/testing of all kinds of pipelines
  • 9 problems from diverse domains (visual question answering, image classification, language classification, language modelling, machine translation)
  • 31 configurable components, including 13 trainable models
  • around 80 pipelines, varying from simple ones with few components for MNIST classification to ones with 50+(!) components for VQA