add changelog

CHANGELOG.md

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+### 0.2.6 (Unreleased)
+
+
+
+#### Datasets
+
+* Adds to antibody-specific datasets using the IGFold corpuses for paired OAS and Jaffe 2022 [#53](https://github.com/a-r-j/ProteinWorkshop/pull/53/)
+* Set `in_memory=True` as default for most (small) datasets for improved performance [#53](https://github.com/a-r-j/ProteinWorkshop/pull/53/)
+* Fix `num_classes` for GO datamodules * Set `in_memory=True` as default for most (downstream) datasets for improved performance [#53](https://github.com/a-r-j/ProteinWorkshop/pull/53/)
+* Fixes GO labelling [#53](https://github.com/a-r-j/ProteinWorkshop/pull/53/)
+
+
+### Features
+* Improves positional encoding performance by adding a `seq_pos` attribute on `Data/Protein` objects in the base dataset getter. [#53](https://github.com/a-r-j/ProteinWorkshop/pull/53/)
+
+### Models
+* Adds CDConv implementation [#53](https://github.com/a-r-j/ProteinWorkshop/pull/53/)
+* Adds tuned hparams for models [#53](https://github.com/a-r-j/ProteinWorkshop/pull/53/)
+
+### Framework
+* Refactors beartype/jaxtyping to use latest recommended syntax [#53](https://github.com/a-r-j/ProteinWorkshop/pull/53/)
+* Adds explainability module for performing attribution on a trained model [#53](https://github.com/a-r-j/ProteinWorkshop/pull/53/)
+* Change default finetuning features in config: `ca_base` -> `ca_seq` [#53](https://github.com/a-r-j/ProteinWorkshop/pull/53/)
+* Add optional hparam entry point to finetuning config [#53](https://github.com/a-r-j/ProteinWorkshop/pull/53/)
+* Fixes GPU memory accumulation for some metrics [#53](https://github.com/a-r-j/ProteinWorkshop/pull/53/)
+* Updates zenodo URL for processed datasets to reflect upstream API change [#53](https://github.com/a-r-j/ProteinWorkshop/pull/53/)
+* Adds multi-hot label encoding transform [#53](https://github.com/a-r-j/ProteinWorkshop/pull/53/)
+* Fixes auto PyG install for `torch>2.1.0` [#53](https://github.com/a-r-j/ProteinWorkshop/pull/53/)
+* Adds `proteinworkshop.model_io` containing utils for loading trained models [#53](https://github.com/a-r-j/ProteinWorkshop/pull/53/)
+
 ### 0.2.5 (25/09/2024)
 
 * Implement ESM embedding encoder ([#33](https://github.com/a-r-j/ProteinWorkshop/pull/33), [#41](https://github.com/a-r-j/ProteinWorkshop/pull/33))