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Release v0.2.0

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@610v4nn1 610v4nn1 released this 24 Apr 16:17
· 124 commits to main since this release
f2c7d15

Renate v0.2 is finally here! 🌟
In these 88 new commits we made a number of enhancements and fixes.
It has been a great team effort and we are very happy to see that two more developers decided to contribute to Renate.

Highlights

  • Scalable data buffer (@lballes). Since replay-based methods are used in many practical applications, and having a larger memory buffer leads to better performance, we made sure Renate users will be able to use a replay-memory larger than the physical memory they have available on their machines. This will enable more folks to use Renate in practice, especially in combinations with large models and datasets.
  • Avalanche learning strategies are usable in Renate(@wistuba). Avalanche is a library for continual learning aiming at making research reproducible. While Renate focuses on real-world applications, it can still be useful to for users to compare with the training strategies implemented in Avalanche. To this purpose, Renate now allows the usage of Avalanche training strategies but not all the functionalities are available for Avalanche training strategies (see details here ).
  • Simplified interfaces (@610v4nn1, @wistuba). We simplified naming for attributes and methods to make the library more intuitive and easier to use. Usability is always among our priorities and we will be happy to get more feedback after these changes.
  • Additional tests (@wesk). We increased the amount of testing done for every PR and we are not running a number of quick training jobs. This will allow us to capture additional problems which may come from the interaction between different components of the library and which, usually, are not captured by unit tests.

There is way more to be discovered, from the examples using pre-trained text models (nlp_finetuning folder in the examples) to the additional Scenario classes created to test the algorithms in different environments.

New Contributors

Full Changelog

See the full changelog: v0.1.0...v0.2.0