Update README.md

README.md

@@ -1 +1,13 @@
-# conditional-latency-probability-prodiction
+# conditional-latency-probability-prodiction
+
+Implementation of two conditional density estimation methods with parametric neural networks in Python:
+
+* Conventional Mixture Density Network with Gaussian Mixture Model (GMM)
+* Novel Mixture Density Network with Gaussian and Extreme Value Mixture Model (EMM)
+
+To use the code, create a 3.6 Python virtual environment in `latency_prediction` folder and run:
+```bash
+pip install -r requirements.txt
+```
+
+This implementation is based on the repository [here](https://github.com/freelunchtheorem/Conditional_Density_Estimation).