Update README.md

README.md

@@ -16,7 +16,7 @@ DynaMix is a foundation model for zero-shot inference of dynamical systems that
 - **Efficient and Lightweight**: Designed to be efficient with a few thousand parameters, DynaMix can also run on CPU for inference, and is enabling orders-of-magnitude faster inference than traditional foundation models.
 - **General Time Series Forecasting**: Extends beyond DSR to general time series forecasting using adaptable embedding techniques.
 
-For complete documentation and code, visit the [DynaMix repository](https://github.com/yourusername/zero-shot-DSR).
+For complete documentation and code, visit the [DynaMix repository](https://github.com/DurstewitzLab/DynaMix-python).
 
 ## Model Description
 
@@ -30,7 +30,7 @@ By aggregating the expert weighting with the expert prediction the next state is
 
 ## Usage
 
-To load the model in python using the corresponding codebase [DynaMix repository](https://github.com/yourusername/zero-shot-DSR), use:
+To load the model in python using the corresponding codebase [DynaMix repository](https://github.com/DurstewitzLab/DynaMix-python), use:
 
 ```python
 from src.utilities.utilities import load_hf_model