adding links to notebooks by @zaidalyafeai

_data/guides.json

@@ -285,6 +285,51 @@
 		]
 	},
 
+	"maskrcnn": {
+		"title": "Object segmentation",
+		"description": "Identifying and segmenting objects with Mask-RCNN",
+		"category": "python",
+		"link":"https://github.com/zaidalyafeai/Notebooks/blob/master/Mask_RCNN.ipynb",
+		"thumb":"/images/guides_thumbs/maskrcnn.jpg",
+		"summary":[
+			"Segmenting objects from images with Mask-RCNN",
+			"Background removal"
+		]
+	},
+	"quickdraw": {
+		"title": "QuickDraw dataset",
+		"description": "Working with Google's QuickDraw dataset",
+		"category": "python",
+		"link":"https://github.com/zaidalyafeai/Notebooks/blob/master/QuickDraw10.ipynb",
+		"thumb":"/images/guides_thumbs/quickdraw.jpg",
+		"summary":[
+			"Loading sketches from Google's QuickDraw dataset",
+			"Basic QuickDraw classifier in Keras"
+		]
+	},
+	"autoencoders": {
+		"title": "Autoencoders",
+		"description": "Training simple autoencoders to reconstruct sketches",
+		"category": "python",
+		"link":"https://github.com/zaidalyafeai/Notebooks/blob/master/AutoEncoders.ipynb",
+		"thumb":"/images/guides_thumbs/autoencoders.jpg",
+		"summary":[
+			"Training an autoencoder on the QuickDraw dataset",
+			"Generating latent space interplations from autencoders"
+		]
+	},
+	"biggan2": {
+		"title": "BigGAN tricks",
+		"description": "A selection of tricks for working with BigGANs",
+		"category": "python",
+		"link":"https://github.com/zaidalyafeai/Notebooks/blob/master/BigGanEx.ipynb",
+		"thumb":"/images/guides_thumbs/biggan2.jpg",
+		"summary":[
+			"Linear and hyperspherical latent space interpolation",
+			"Modulating background while holding foreground constant in generation",
+			"Working with truncation"
+		]
+	},
 
 	"AudioClassifier": {
 		"title": "Audio classifier",

_pages/guides.md

@@ -84,7 +84,6 @@ redirect_from: /guides2/
 </div>
 
 
-
 {% include guide_preview.md name="Contribute" %}
 
 {% include guide_preview.md name="fundamentals" %}
@@ -97,6 +96,7 @@ redirect_from: /guides2/
 {% include guide_preview.md name="keras-classification" %}
 {% include guide_preview.md name="cnn" %}
 {% include guide_preview.md name="transfer-learning" %}
+{% include guide_preview.md name="quickdraw" %}
 {% include guide_preview.md name="rnn" %}
 {% include guide_preview.md name="seq2seq" %}
 {% include guide_preview.md name="image-search" %}
@@ -108,10 +108,13 @@ redirect_from: /guides2/
 {% include guide_preview.md name="neural-painter" %}
 {% include guide_preview.md name="word2vec" %}
 {% include guide_preview.md name="eigenfaces" %}
+{% include guide_preview.md name="autoencoders" %}
 {% include guide_preview.md name="neural-synth" %}
 {% include guide_preview.md name="qlearn" %}
 {% include guide_preview.md name="qnets" %}
 {% include guide_preview.md name="biggan" %}
+{% include guide_preview.md name="biggan2" %}
+{% include guide_preview.md name="maskrcnn" %}
 
 {% include guide_preview.md name="AudioClassifier" %}
 {% include guide_preview.md name="AudioTSNEViewer" %}

classes/itp-S19/index.html

@@ -171,27 +171,3 @@ <h2>
 
 
 </script>
-
-<!--
-
-Runway
-im2txt
-darknet + objection detection
-densecap
-
-The collective imagination
- - artworks and projects made
- - [optional] Linear regression  
- - [optional] kNN
-
-Recurrent neural networks
-"RNNs, LSTMs, GRUs, NTMs
-"sequence-to-sequence models
-"char-rnn
-
-https://github.com/ml4a/ml4a-guides/tree/master/notebooks/recurrent_neural_networks.ipynb
-seq https://github.com/ml4a/ml4a-guides/tree/master/notebooks/sequence_to_sequence.ipynb
-
-https://ml5js.org/docs/LSTMGenerator
-
--->