v0.5.0

🤩 Highlights

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.

🌟 New Features

• Logging additional metrics by @prabhuteja12 in #448
• S-Prompts for ViT and Text Transformers by @prabhuteja12 in #388

🛢 Datasets

• Adding CDDB dataset by @prabhuteja12 in #442
• Core50 dataset by @prabhuteja12 in #447

📜 Documentation Updates

• Documentation changes by @prabhuteja12 in #450

🐛 Bug Fixes

• CLEAR and TinyImageNet tests bugfixes by @prabhuteja12 in #441
• Fix CosineAnnealing issue in configs and add more configs by @wistuba in #449
• Fixing Issue of Avalanche Updater with Datasets that return PIL Images by @wistuba in #457
• Avoid In-Memory Dataset Copy for Avalanche by @wistuba in #463
• Update Flaky Tests by @wistuba in #495
• Speeding up unitests by @prabhuteja12 in #432

Full Changelog: v0.4.0...v0.5.0