Update README.md

README.md

@@ -33,6 +33,4 @@ For each SPDE, we provide data for different truncation degree (denoted by eps)
 denoted by u0). For the **dynamical Phi42 model**, we provide data generated by two different 
 method: with implementing renormalization (denoted by reno) and without implementing renormalization (denoted by expl). For the **stochastic Ginzburg-Landau equation**, we provide data of 
 different value of additive diffusive term sigma (sigma = 0.1 or sigma = 1). For the **KdV equation**, we provide data of two different type of diving noise: cylindrical Wiener 
-process (denoted by cyl) and Q-Wiener process (denoted by Q).
-
-The code is available at [Github](https://github.com/DeepIntoStreams/SPDE_hackathon). 
+process (denoted by cyl) and Q-Wiener process (denoted by Q).