diff --git a/README.md b/README.md
index 22559da..aad8897 100644
--- a/README.md
+++ b/README.md
@@ -12,47 +12,28 @@ implements diverse conditional density estimators.
This package provides pass-through access to all the
functionalities of [nflows](https://github.com/bayesiains/nflows).
-## Setup
+## Installation
-Clone the repo and install all the dependencies using the
-`environment.yml` file to create a conda environment: `conda env
-create -f environment.yml`. If you already have a `pyknos` environment
-and want to refresh dependencies, just run `conda env update -f
-environment.yml --prune`.
+`pyknos` requires Python 3.8 or higher. A GPU is not required, but can lead to speed-up
+in some cases. We recommend using a
+[`conda`](https://docs.conda.io/en/latest/miniconda.html) virtual environment
+([Miniconda installation instructions](https://docs.conda.io/en/latest/miniconda.html)).
+If `conda` is installed on the system, an environment for installing `pyknos` can be
+created as follows:
-Alternatively, you can install via `setup.py` using `pip install -e
-".[dev]"` (the dev flag installs development and testing
-dependencies).
+```commandline
+$ conda create -n pyknos_env python=3.12 && conda activate pyknos_env
+```
-## Examples
-
-Examples are collected in notebooks in `examples/`.
-
-## Binary files and Jupyter notebooks
-
-### Using
+Independent of whether you are using `conda` or not, `pyknos` can be installed using `pip`:
-We use git lfs to store large binary files. Those files are not
-downloaded by cloning the repository, but you have to pull them
-separately. To do so follow installation instructions here
-[https://git-lfs.github.com/](https://git-lfs.github.com/). In
-particular, in a freshly cloned repository on a new machine, you will
-need to run both `git-lfs install` and `git-lfs pull`.
+```commandline
+pip install pyknos
+```
-### Contributing
-
-We use a filename filter to identify large binary files. Once you
-installed and pulled git lfs you can add a file to git lfs by
-appending `_gitlfs` to the basename, e.g., `oldbase_gitlfs.npy`. Then
-add the file to the index, commit, and it will be tracked by git lfs.
+## Examples
-Additionally, to avoid large diffs due to Jupyter notebook outputs we
-are using `nbstripout` to remove output from notebooks before every
-commit. The `nbstripout` package is downloaded automatically during
-installation of `pyknos`. However, **please make sure to set up the
-filter yourself**, e.g., through `nbstriout --install` or with
-different options as described
-[here](https://github.com/kynan/nbstripout).
+See the [`sbi` repository](https://github.com/sbi-dev/sbi) for examples of using pyknos.
## Name
@@ -62,21 +43,16 @@ pyknós (πυκνός) is the transliterated Greek root for density
## Copyright notice
This program is free software: you can redistribute it and/or modify
-it under the terms of the GNU Affero General Public License as published by
-the Free Software Foundation, either version 3 of the License, or
-(at your option) any later version.
+it under the terms of the Apache License 2.0., see LICENSE for more details.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
-You should have received a copy of the GNU Affero General Public License
-along with this program. If not, see .
-
-## Acknowledgements
+## Acknowledgments
Thanks to Artur Bekasov, Conor Durkan and George Papamarkarios for
their work on [nflows](https://github.com/bayesiains/nflows).
-The MDN implementation in this package is by Conor M. Durkan.
+The MDN implementation in this package is based on Conor M. Durkan's.
diff --git a/environment.yml b/environment.yml
deleted file mode 100644
index a0154e9..0000000
--- a/environment.yml
+++ /dev/null
@@ -1,31 +0,0 @@
-#
-# Create:
-# $ conda env create --file environment.yml
-#
-# Update:
-# $ conda env update --file environment.yml --prune
-#
-# Activate:
-# $ conda activate pyknos
-
-name: pyknos
-
-channels:
- - conda-forge
- - pytorch
-
-dependencies:
- - cudatoolkit
- - jupyter
- - jupyterlab
- - matplotlib
- - notebook
- - numpy
- - pip
- - pip:
- - "nflows==0.14"
- - -e ".[dev]"
- - "python >= 3.6.0"
- - "pytorch >= 1.5.1"
- - tensorboard
- - tqdm
diff --git a/pyknos/__version__.py b/pyknos/__version__.py
index ff1f3af..91286d1 100644
--- a/pyknos/__version__.py
+++ b/pyknos/__version__.py
@@ -1,7 +1,6 @@
# This file is part of pyknos, a library for conditional density estimation.
-# pyknos is licensed under the Affero General Public License v3,
-# see .
+# pyknos is licensed under the Apache License 2.0., see LICENSE for more details.
-VERSION = (0, 15, 2)
+VERSION = (0, 16, 0)
__version__ = ".".join(map(str, VERSION))
diff --git a/pyknos/mdn/mdn.py b/pyknos/mdn/mdn.py
index f451e18..340599d 100644
--- a/pyknos/mdn/mdn.py
+++ b/pyknos/mdn/mdn.py
@@ -3,6 +3,9 @@
C. M. Bishop, "Mixture Density Networks", NCRG Report (1994)
Taken from http://github.com/conormdurkan/lfi. See there for copyright.
+
+# This file is part of pyknos, a library for conditional density estimation.
+# pyknos is licensed under the Apache License 2.0., see LICENSE for more details.
"""
import warnings
diff --git a/tests/mdn_test.py b/tests/mdn_test.py
index e53d09c..18c8c03 100644
--- a/tests/mdn_test.py
+++ b/tests/mdn_test.py
@@ -1,3 +1,6 @@
+# This file is part of pyknos, a library for conditional density estimation.
+# pyknos is licensed under the Apache License 2.0., see LICENSE for more details.
+
from typing import Optional
import pytest