Update README.md

Author: federicobrancasi

README.md

@@ -2,7 +2,7 @@
 
 A library for true-quantization and optimization of neural networks.
 
-Deeploy is developed as part of the PULP project, a joint effort between ETH Zurich and the University of Bologna.
+DeepQuant is developed as part of the PULP project, a joint effort between ETH Zurich and the University of Bologna.
 
 ## License
 
@@ -20,4 +20,4 @@ pip install -e .
 We provide comprehensive tests with pytest, to execute all tests, simply run `pytest`. We mark our tests in two categories, `SingleLayerTests` and `ModelTests`, to execute the tests of the specific category, you can run `pytest -m <category>`. For instance, to execute only the single layer tests, you can run `pytest -m SingleLayerTests`.
 
 ## ⚠️ Disclaimer ⚠️
-This library is currently in **beta stage** and under active development. Interfaces and features are subject to change, and stability is not yet guaranteed. Use at your own risk, and feel free to report any issues or contribute to its improvement.
+This library is currently in **beta stage** and under active development. Interfaces and features are subject to change, and stability is not yet guaranteed. Use at your own risk, and feel free to report any issues or contribute to its improvement.