Update index generator

fidle/cooker.py

@@ -44,7 +44,7 @@ def get_files(directories, top_dir='..'):
     files = []
     regex = re.compile('.*==\d+==.*')
 
-    for d in directories:       
+    for d in directories:
         notebooks = glob.glob( f'{top_dir}/{d}/*.ipynb')
         notebooks.sort()
         scripts   = glob.glob( f'{top_dir}/{d}/*.sh')
@@ -52,7 +52,7 @@ def get_files(directories, top_dir='..'):
         files.extend(notebooks)
         files.extend(scripts)
         
-    files = [x for x in files if not regex.match(x)]
+#     files = [x for x in files if not regex.match(x)]
     files = [ x.replace(f'{top_dir}/','') for x in files]
     return files
 

fidle/css/readme.css

 <style>
 
+.fid_line{
+    padding-top: 10px
+}
+
 .fid_id {    
     font-size:1.em;
     color:black;
     font-weight: bold; 
     padding:0px;
-    padding-left: 0px;
+    margin-left: 20px;
     display: inline-block;
     width: 60px;
     }
@@ -13,17 +17,23 @@
 .fid_desc {    
     font-size:1.em;
     padding:0px;
-    padding-left: 60px;
+    margin-left: 85px;
     display: inline-block;
-    width: 400px;
+    width: 600px;
     }
 
 
 
 div.fid_section {    
-    font-size:1.4em;
-    color:darkgray;
-    padding: 1.em;!important;
+    font-size:1.2em;
+    color:black;
+    margin-left: 0px;
+    margin-top: 12px;
+    margin-bottom:8px;
+    border-bottom: solid;
+    border-block-width: 1px;
+    border-block-color: #dadada;
+    width: 700px;
     }
 
 </style>
\ No newline at end of file

fidle/log/catalog.json

@@ -34,6 +34,20 @@
         "title": "Perceptron Model 1957",
         "description": "A simple perceptron, with the IRIS dataset."
     },
+    "BHPD1": {
+        "id": "BHPD1",
+        "dirname": "BHPD",
+        "basename": "01-DNN-Regression.ipynb",
+        "title": "Regression with a Dense Network (DNN)",
+        "description": "A Simple regression with a Dense Neural Network (DNN) - BHPD dataset"
+    },
+    "BHPD2": {
+        "id": "BHPD2",
+        "dirname": "BHPD",
+        "basename": "02-DNN-Regression-Premium.ipynb",
+        "title": "Regression with a Dense Network (DNN) - Advanced code",
+        "description": "More advanced example of DNN network code - BHPD dataset"
+    },
     "MNIST1": {
         "id": "MNIST1",
         "dirname": "MNIST",
@@ -146,6 +160,20 @@
         "title": "Time series with RNN - 12h predictions",
         "description": "Episode 3: Attempt to predict in the longer term "
     },
+    "AE1": {
+        "id": "AE1",
+        "dirname": "AE",
+        "basename": "01-AE-with-MNIST.ipynb",
+        "title": "AutoEncoder (AE) with MNIST",
+        "description": "Episode 1 : Model construction and Training"
+    },
+    "AE2": {
+        "id": "AE2",
+        "dirname": "AE",
+        "basename": "02-AE-with-MNIST-post.ipynb",
+        "title": "AutoEncoder (AE) with MNIST - Analysis",
+        "description": "Episode 2 : Exploring our denoiser"
+    },
     "VAE1": {
         "id": "VAE1",
         "dirname": "VAE",
@@ -184,9 +212,9 @@
     "VAE8": {
         "id": "VAE8",
         "dirname": "VAE",
-        "basename": "08-VAE-with-CelebA.ipynb",
-        "title": "Variational AutoEncoder (VAE) with CelebA",
-        "description": "Building a VAE and train it, using a data generator"
+        "basename": "08-VAE-with-CelebA==1090048==.ipynb",
+        "title": "Variational AutoEncoder (VAE) with CelebA (small)",
+        "description": "Variational AutoEncoder (VAE) with CelebA (small res. 128x128)"
     },
     "VAE9": {
         "id": "VAE9",