diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index c0ab8b87..428925e6 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -15,7 +15,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ["3.9", "3.10", "3.11", "3.12"]
+        python-version: ["3.9", "3.10", "3.11", "3.12", "3.13", "3.14"]
         os: [ubuntu-latest, macos-latest, windows-latest]
 
     steps:
diff --git a/LICENCE b/LICENCE
new file mode 100644
index 00000000..2c9214c6
--- /dev/null
+++ b/LICENCE
@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2023 Soft Matter Lab
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/LICENCE.txt b/LICENCE.txt
deleted file mode 100644
index e69de29b..00000000
diff --git a/README.md b/README.md
index 286fd48c..24aff0a5 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,20 @@
-Deeplay is a deep learning library in Python that extends PyTorch with additional functionalities focused on modularity and reusability.  Deeplay seeks to address the common issue of rigid and non-reusable modules in PyTorch projects by offering a system that allows for easy customization and optimization of neural network components. Specifically, it facilitates the definition, training, and adjustment of neural networks by introducing dynamic modification capabilities for model components after their initial creation.
+<h3 align="center">deeplay - A Modular Superset of PyTorch</h3>
+<p align="center">
+  <a href="/LICENSE" alt="licence">
+    <img src="https://img.shields.io/github/license/DeepTrackAI/deeplay">
+  </a>
+  <a href="https://badge.fury.io/py/deeplay">
+    <img src="https://badge.fury.io/py/deeplay.svg" alt="PyPI version">
+  </a>
+  <a href="https://deeptrackai.github.io/deeplay">
+    <img src="https://img.shields.io/badge/docs-available-blue?logo=readthedocs">
+  </a>
+  <a href="https://badge.fury.io/py/deeptrack">
+    <img src="https://img.shields.io/badge/python-3.9%20%7C%203.14%20%7C%203.11%20%7C%203.12%20%7C%203.13%20%7C%203.14-blue" alt="Python version">
+  </a>
+</p>
+
+Deeplay is a deep learning library in Python that extends PyTorch with additional functionalities focused on modularity and reusability. Deeplay seeks to address the common issue of rigid and non-reusable modules in PyTorch projects by offering a system that allows for easy customization and optimization of neural network components. Specifically, it facilitates the definition, training, and adjustment of neural networks by introducing dynamic modification capabilities for model components after their initial creation.
 
 # Core Philosophy