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+# Release History #
+
+## 2.1.4 (2020-06-30) ##
+
+* Better handling of indefinite losses during training.
+
+## 2.1.3 (2020-06-29) ##
+
+* Fix loading cell and gene names for H5 data sets.
+* Report expected model directory path when scVAE cannot find a model during evaluation for easier troubleshooting.
+
+## 2.1.2 (2020-04-07) ##
+
+* Export of decomposition of data sets and latent values as compressed TSV files.
+* Export of predictions as compressed TSV files.
+* Fix potential crash during *t*-SNE decomposition.
+
+## 2.1.1 (2020-02-24) ##
+
+* Requires TensorFlow 1.15.2 because of a security vulnerability.
+* Export of latent values as compressed TSV files.
+* Make folder names and filenames more safe on Windows.
+* Regrouped analyses, so fewer analyses are performed by default. All available analyses can be performed using ``--included-analyses all``.
+* Fix loading of KL divergences when evaluating VAE models.
+* Fix crash during model analyses, if the model did not exist.
+
+## 2.1.0 (2019-11-12) ##
+
+* Requires Python 3.6 or 3.7 as well as TensorFlow 1.15.
+* Documentation with user guide and tutorial.
+* Support for sparse matrices in HDF5 format.
+* Improved support for Loom files by following conventions.
+* Scatter plots of classes against the primary latent feature as well as the two primary latent features against each other when evaluating a model.
+* Fix crash related to `argparse` when using Python 3.6.
+
+## 2.0.0 (2019-05-18) ##
+
+* Complete refactor and clean-up including structuring as Python package.
+* Easier loading of custom data sets.
+* Batch correction included in models for data sets with batch indices.
+* Learnable mixture coefficients for the GMVAE model.
+* Full covariance matrix for the GMVAE model.
+* Sampling from models.
+
+## 1.0 (2018-04-25) ##
+
+Initial release.