Library for automatic retraining and continual learning
APACHE-2.0 License
Minor release that upgrades versions of sagemaker, requests, Pillow, and transformers to account for vulnerabilities.
Published by wistuba 9 months ago
Minor release that changes versions of Pillow and transformers library to account for untrusted data vulnerability in transformers<4.36.0 and arbitrary code execution in Pillow<10.2.0.
Published by 610v4nn1 11 months ago
In this release we focused on the addition of methods for continual learning that do not require storing data in memory. In particular, we implemented methods that can work in combination with pre-trained transformer models.
Full Changelog: https://github.com/awslabs/Renate/compare/v0.4.0...v0.5.0
Published by wistuba about 1 year ago
Renate 0.4.0 adds multi-gpu training via deepspeed, data shift detectors, L2P as a new updater, and a couple of new datasets for benchmarking (WildTimeData, CLEAR, DomainNet, 4TextDataset).
collate_fn
by @wistuba in https://github.com/awslabs/Renate/pull/390
set_transforms
from memory buffer by @lballes in https://github.com/awslabs/Renate/pull/265
RenateLightningModule
by @wistuba in https://github.com/awslabs/Renate/pull/301
num_gpus_per_trial
after SyneTune update by @prabhuteja12 in https://github.com/awslabs/Renate/pull/278
transformers
by @wistuba in https://github.com/awslabs/Renate/pull/298
Full Changelog: https://github.com/awslabs/Renate/compare/v0.3.1...v0.4.0
Published by wistuba over 1 year ago
Full Changelog: https://github.com/awslabs/Renate/compare/v0.3.0...v0.3.1
Published by lballes over 1 year ago
renate.shift
.RenateModule
for convenient usage of Hugging Face Transformers. NLP and models are now included in the benchmarking suite.Full Changelog: https://github.com/awslabs/Renate/compare/v0.2.1...v0.3.0
Published by 610v4nn1 over 1 year ago
Full Changelog: https://github.com/awslabs/Renate/compare/v0.2.0...v0.2.1
Published by 610v4nn1 over 1 year ago
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.
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.
See the full changelog: https://github.com/awslabs/Renate/compare/v0.1.0...v0.2.0
Published by wistuba almost 2 years ago
First public release of Renate.
The library provides the ability to:
The package also contains documentation, examples, and scripts for experimentation.
Contributors (ordered by number of commits)