part1 done

.gitignore

@@ -4,3 +4,4 @@ __pycache__/
 *.pyo
 cache/
 *.parquet
+*.pth

tutorials/20260622164035_Let's Build a Quant Trading Strategy, MemLabs/models.py

@@ -0,0 +1,23 @@
+import torch.nn as nn
+
+# Simple Linear Model
+class LinearModel(nn.Module):
+    def __init__(self, input_features):
+        super(LinearModel, self).__init__()
+        self.linear = nn.Linear(input_features, 1)  # Single output (return prediction)
+    
+    def forward(self, x):
+        return self.linear(x)
+
+# Non-Linear Neural Network Model
+class NonLinearModel(nn.Module):
+    def __init__(self, input_features, hidden_size=64):
+        super(NonLinearModel, self).__init__()
+        self.network = nn.Sequential(
+            nn.Linear(input_features, hidden_size),
+            nn.ReLU(),  # Non-linear activation
+            nn.Linear(hidden_size , 1)  # Output layer
+        )
+    
+    def forward(self, x):
+        return self.network(x)