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Releases: activeloopai/deeplake

v3.9.37 🌈

18 Jan 13:15
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⚙️ Who Contributes

@activesoull

v3.9.36🌈

16 Jan 15:17
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🧭 What's Changed

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@activesoull and @khustup2

v4.1.4🌈

15 Jan 22:59
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Fixed Bugs

  • Precondition query downloads additional columns data.
  • Fixed credentials update after expiration
  • Fix the speed and memory usage of clustered index for large result sets (10k).
  • Fashionpedia convert to v4 errors out because of list htype
  • Fixed MAXSIM in ascending order query

Added features

  • Support Point type
  • Added from_coco to automate coco-like datasets ingestion
  • Partially indexed columns support in query
  • Better error handling in embedding ingestion
  • Add python api for disabling/enabling index creation

v3.9.35 🌈

10 Jan 11:44
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@activesoull

v4.1.3 🌈

06 Jan 14:45
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  • Fixed MAXSIM search for different shape embeddings

v4.1.2 🌈

31 Dec 05:27
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  • 100x search time improvement with MAXSIM for ColPali using pooling
  • Fixed deadlock issues with multiprocessing
  • Improved core engine stability and performance

v4.1 adds the following major features

  • Ability to add linked rows for images, segment masks and binary masks
  • Ability to save query views through tagging
  • Integration with MMDetection and MMSegmentation
  • Autocommit the data at the session exit
  • Ability to create dynamic arrays
  • Ability to create structures with known schema

v4.1.1 🌈

19 Dec 21:10
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  • Bug fixes in deeplake.convert and performance improvements in data ingestion.
  • Fixed TQL UNION expression for the same source.
  • Better support for multiprocessing.

v4.1 adds the following major features

  • Ability to add linked rows for images, segment masks and binary masks
  • Ability to save query views through tagging
  • Integration with MMDetection and MMSegmentation
  • Autocommit the data at the session exit
  • Ability to create dynamic arrays
  • Ability to create structures with known schema

v3.9.34 🌈

18 Dec 08:43
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🧭 What's Changed

⚙️ Who Contributes

@activesoull and @tyesayan

v3.9.33 🌈

13 Dec 15:12
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🧭 What's Changed

  • Update version for the next release (#3002) @activesoull
  • Fixed query result datatests merged class_label tensor's class_names consistent @activesoull
  • Make libdeeplake dependency to always download the latest release (#3004) @activesoull

⚙️ Who Contributes

@activesoull

v4.1.0🌈

12 Dec 11:08
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First major release since v4 announcements. Here's the highlights of what's included:

New Features:

  • Ability to add linked rows for images, segment masks and binary masks
  • Ability to save query views through tagging
  • Integration with MMDetection and MMSegmentation
  • Autocommit the data at the session exit
  • Ability to create dynamic arrays
  • Ability to create structures with known schema

Improvements and fixes:

  • Significantly improved dataset load time for large datasets
  • Flushing the data in background during ingestion
  • Reduced memory usage during ingestion
  • Ability to slice the dataset and column by slices, lists and tuples
  • Fixed various bugs in query engine, v3-to-v4 conversion flow and data ingestion flow