Merge branch 'release-0.2.0' into 'develop'

Release v0.2.0

See merge request sacdallago/bio_embeddings!174

CHANGELOG.md

@@ -1,6 +1,6 @@
 # Changelog
 
-## Unreleased
+## v0.2.0
 
  * Added the `prottrans_t5_xl_u50`/`ProtTransT5XLU50Embedder` embedder from the latest ProtTrans revision. You should use this over `prottrans_t5_bfd` and `prottrans_t5_uniref50`. 
  * The `projected_embeddings_file.csv` of project stages has been renamed to `projected_reduced_embeddings_file.h5`. For backwards compatibility, `projected_embeddings_file.csv` is still written.

README.md

@@ -42,7 +42,7 @@ Install the pipeline like so:
 pip install bio-embeddings[all]
 ```
 
-To get the latest features, please install the pipeline like so:
+To install the unstable version, please install the pipeline like so:
 
 ```bash
 pip install -U "bio-embeddings[all] @ git+https://github.com/sacdallago/bio_embeddings.git"
@@ -62,9 +62,9 @@ docker run --rm --gpus all \
 
 See the [`docker`](examples/docker) example in the [`examples`](examples) folder for instructions. You can also use `ghcr.io/bioembeddings/bio_embeddings:latest` which is built from the latest commit.
 
-### Installation notes:
+### Installation notes
 
-`bio_embeddings` was developed for unix machines with GPU capabilities and [CUDA](https://developer.nvidia.com/cuda-zone) installed. If your setup diverges from this, you may encounter some inconsitencies (e.g. speed is significantly affected by the absence of a GPU and CUDA). For Windows users, we strongly recommend the use of [Windows Subsystem for Linux](https://docs.microsoft.com/en-us/windows/wsl/install-win10).
+`bio_embeddings` was developed for unix machines with GPU capabilities and [CUDA](https://developer.nvidia.com/cuda-zone) installed. If your setup diverges from this, you may encounter some inconsistencies (e.g. speed is significantly affected by the absence of a GPU and CUDA). For Windows users, we strongly recommend the use of [Windows Subsystem for Linux](https://docs.microsoft.com/en-us/windows/wsl/install-win10).
 
 
 ## What model is right for you?

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "bio_embeddings"
-version = "0.1.7"
+version = "0.2.0"
 description = "A pipeline for protein embedding generation and visualization"
 authors = ["Christian Dallago <[email protected]>", "Michael Heinzinger <[email protected]>", "Tobias Olenyi <[email protected]>", "Konstantin Schuetze <[email protected]>"]
 maintainers = ["Rostlab <[email protected]>"]