Deployed 28e87e1 with MkDocs version: 1.5.3

zaiquiriw · Oct 29, 2023 · a2560e7 · a2560e7
1 parent 408f62a
commit a2560e7
Show file tree

Hide file tree

Showing 46 changed files with 467 additions and 7,122 deletions.
diff --git a/404.html b/404.html
diff --git a/ML Work/ClassificationSVM.pdf → ClassificationSVM.pdf b/ML Work/ClassificationSVM.pdf → ClassificationSVM.pdf
diff --git a/ML Work/Clustering.pdf → Clustering.pdf b/ML Work/Clustering.pdf → Clustering.pdf
diff --git a/ML Work/Dimensionality.pdf → Dimensionality.pdf b/ML Work/Dimensionality.pdf → Dimensionality.pdf
diff --git a/ML Work/Classification/index.html b/ML Work/Classification/index.html
diff --git a/ML Work/Regression/index.html b/ML Work/Regression/index.html
diff --git a/ML Work/RegressionSVM/index.html b/ML Work/RegressionSVM/index.html
diff --git a/ML Work/data exploration/index.html b/ML Work/data exploration/index.html
diff --git a/ML Work/ml overview/index.html → ML Work/index.html b/ML Work/ml overview/index.html → ML Work/index.html
diff --git a/nlp overview/index.html → NLP Work/index.html b/nlp overview/index.html → NLP Work/index.html
diff --git a/NLP Work/summary/index.html b/NLP Work/summary/index.html
diff --git a/ML Work/RegressionSVM.pdf → RegressionSVM.pdf b/ML Work/RegressionSVM.pdf → RegressionSVM.pdf
diff --git a/NLP Work/RickMortyTwo.pdf → RickMortyTwo.pdf b/NLP Work/RickMortyTwo.pdf → RickMortyTwo.pdf
diff --git a/ML Work/SVM and ensemble.pdf → SVM and ensemble.pdf b/ML Work/SVM and ensemble.pdf → SVM and ensemble.pdf
diff --git a/NLP Work/Summary_of_Attention_Article.pdf → Summary_of_Attention_Article.pdf b/NLP Work/Summary_of_Attention_Article.pdf → Summary_of_Attention_Article.pdf
diff --git a/assets/css/customization.css b/assets/css/customization.css
@@ -6,6 +6,26 @@ DONT FORGET TO EDIT THE URL
 }
 */
 
+[data-md-color-scheme="zaiq-light"] {
+    --md-primary-fg-color:        #3c3836;
+    --md-primary-bg-color:        #fbf1c7;
+
+    --md-accent-fg-color:                ;
+    --md-accent-fg-color--transparent:   ;
+    --md-accent-bg-color:                ;
+    --md-accent-bg-color--light:         ;
+}
+
+[data-md-color-scheme="zaiq-dark"] {
+    --md-primary-fg-color:               #ebdbb2;
+    --md-primary-bg-color:               #282828;
+
+    --md-accent-fg-color:                #ebdbb2;
+    --md-accent-fg-color--transparent:   #ebdbb2;
+    --md-accent-bg-color:                #ebdbb2;
+    --md-accent-bg-color--light:         #ebdbb2;
+}
+
 .md-typeset details.wiki,
 .md-typeset .admonition.wiki {
     border-color: transparent;

diff --git a/assets/graph.html b/assets/graph.html
@@ -0,0 +1,155 @@
+<html>
+    <head>
+        <meta charset="utf-8">
+
+            <script src="lib/bindings/utils.js"></script>
+            <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/vis-network/9.1.2/dist/dist/vis-network.min.css" integrity="sha512-WgxfT5LWjfszlPHXRmBWHkV2eceiWTOBvrKCNbdgDYTHrT2AeLCGbF4sZlZw3UMN3WtL0tGUoIAKsu8mllg/XA==" crossorigin="anonymous" referrerpolicy="no-referrer" />
+            <script src="https://cdnjs.cloudflare.com/ajax/libs/vis-network/9.1.2/dist/vis-network.min.js" integrity="sha512-LnvoEWDFrqGHlHmDD2101OrLcbsfkrzoSpvtSQtxK3RMnRV0eOkhhBN2dXHKRrUU8p2DGRTk35n4O8nWSVe1mQ==" crossorigin="anonymous" referrerpolicy="no-referrer"></script>
+
+
+<center>
+<h1></h1>
+</center>
+
+<!-- <link rel="stylesheet" href="../node_modules/vis/dist/vis.min.css" type="text/css" />
+<script type="text/javascript" src="../node_modules/vis/dist/vis.js"> </script>-->
+        <link
+          href="https://cdn.jsdelivr.net/npm/bootstrap@5.0.0-beta3/dist/css/bootstrap.min.css"
+          rel="stylesheet"
+          integrity="sha384-eOJMYsd53ii+scO/bJGFsiCZc+5NDVN2yr8+0RDqr0Ql0h+rP48ckxlpbzKgwra6"
+          crossorigin="anonymous"
+        />
+        <script
+          src="https://cdn.jsdelivr.net/npm/bootstrap@5.0.0-beta3/dist/js/bootstrap.bundle.min.js"
+          integrity="sha384-JEW9xMcG8R+pH31jmWH6WWP0WintQrMb4s7ZOdauHnUtxwoG2vI5DkLtS3qm9Ekf"
+          crossorigin="anonymous"
+        ></script>
+
+
+        <center>
+          <h1></h1>
+        </center>
+        <style type="text/css">
+
+             #mynetwork {
+                 width: 750px;
+                 height: 750px;
+                 background-color: transparent;
+                 border: 1px solid lightgray;
+                 position: relative;
+                 float: left;
+             }
+
+
+
+
+
+
+        </style>
+    </head>
+
+
+    <body>
+        <div class="card" style="width: 100%">
+
+
+            <div id="mynetwork" class="card-body"></div>
+        </div>
+
+
+
+
+        <script type="text/javascript">
+
+              // initialize global variables.
+              var edges;
+              var nodes;
+              var allNodes;
+              var allEdges;
+              var nodeColors;
+              var originalNodes;
+              var network;
+              var container;
+              var options, data;
+              var filter = {
+                  item : '',
+                  property : '',
+                  value : []
+              };
+
+
+
+
+
+              // This method is responsible for drawing the graph, returns the drawn network
+              function drawGraph() {
+                  var container = document.getElementById('mynetwork');
+
+
+
+                  // parsing and collecting nodes and edges from the python
+                  nodes = new vis.DataSet([{"color": "#97c2fc", "font": {"color": "#7c7c7c"}, "id": "NLP Work", "label": "NLP Work", "shape": "dot", "size": 10}, {"color": "#97c2fc", "font": {"color": "#7c7c7c"}, "id": "https://github.com/zaiquiriw/nlp-portfolio", "label": "https://github.com/zaiquiriw/nlp-portfolio", "shape": "dot", "size": 10}, {"color": "#97c2fc", "font": {"color": "#7c7c7c"}, "id": "Summary_of_Attention_Article.pdf", "label": "Summary_of_Attention_Article.pdf", "shape": "dot", "size": 10}, {"color": "#97c2fc", "font": {"color": "#7c7c7c"}, "id": "wordnet.pdf", "label": "wordnet.pdf", "shape": "dot", "size": 10}, {"color": "#97c2fc", "font": {"color": "#7c7c7c"}, "id": "ngrams-assignment.pdf", "label": "ngrams-assignment.pdf", "shape": "dot", "size": 10}, {"color": "#97c2fc", "font": {"color": "#7c7c7c"}, "id": "summary.pdf", "label": "summary.pdf", "shape": "dot", "size": 10}, {"color": "#97c2fc", "font": {"color": "#7c7c7c"}, "id": "text-classification.pdf", "label": "text-classification.pdf", "shape": "dot", "size": 10}, {"color": "#97c2fc", "font": {"color": "#7c7c7c"}, "id": "RickMortyTwo.pdf", "label": "RickMortyTwo.pdf", "shape": "dot", "size": 10}, {"color": "#97c2fc", "font": {"color": "#7c7c7c"}, "id": "ML Work", "label": "ML Work", "shape": "dot", "size": 10}, {"color": "#97c2fc", "font": {"color": "#7c7c7c"}, "id": "nlp overview", "label": "nlp overview", "shape": "dot", "size": 10}, {"color": "#97c2fc", "font": {"color": "#7c7c7c"}, "id": "data exploration", "label": "data exploration", "shape": "dot", "size": 10}, {"color": "#97c2fc", "font": {"color": "#7c7c7c"}, "id": "linear regression.pdf", "label": "linear regression.pdf", "shape": "dot", "size": 10}, {"color": "#97c2fc", "font": {"color": "#7c7c7c"}, "id": "linear classification.pdf", "label": "linear classification.pdf", "shape": "dot", "size": 10}, {"color": "#97c2fc", "font": {"color": "#7c7c7c"}, "id": "from scratch.pdf", "label": "from scratch.pdf", "shape": "dot", "size": 10}, {"color": "#97c2fc", "font": {"color": "#7c7c7c"}, "id": "similarities main.pdf", "label": "similarities main.pdf", "shape": "dot", "size": 10}, {"color": "#97c2fc", "font": {"color": "#7c7c7c"}, "id": "similarities regression.pdf", "label": "similarities regression.pdf", "shape": "dot", "size": 10}, {"color": "#97c2fc", "font": {"color": "#7c7c7c"}, "id": "similarities classification.pdf", "label": "similarities classification.pdf", "shape": "dot", "size": 10}, {"color": "#97c2fc", "font": {"color": "#7c7c7c"}, "id": "Clustering.pdf", "label": "Clustering.pdf", "shape": "dot", "size": 10}, {"color": "#97c2fc", "font": {"color": "#7c7c7c"}, "id": "Dimensionality.pdf", "label": "Dimensionality.pdf", "shape": "dot", "size": 10}, {"color": "#97c2fc", "font": {"color": "#7c7c7c"}, "id": "SVM and ensemble.pdf", "label": "SVM and ensemble.pdf", "shape": "dot", "size": 10}, {"color": "#97c2fc", "font": {"color": "#7c7c7c"}, "id": "ClassificationSVM.pdf", "label": "ClassificationSVM.pdf", "shape": "dot", "size": 10}, {"color": "#97c2fc", "font": {"color": "#7c7c7c"}, "id": "RegressionSVM.pdf", "label": "RegressionSVM.pdf", "shape": "dot", "size": 10}, {"color": "#97c2fc", "font": {"color": "#7c7c7c"}, "id": "keras_image_recognition.pdf", "label": "keras_image_recognition.pdf", "shape": "dot", "size": 10}, {"color": "#97c2fc", "font": {"color": "#7c7c7c"}, "id": "index", "label": "index", "shape": "dot", "size": 10}]);
+                  edges = new vis.DataSet([{"from": "NLP Work", "to": "https://github.com/zaiquiriw/nlp-portfolio", "width": 1}, {"from": "NLP Work", "to": "Summary_of_Attention_Article.pdf", "width": 1}, {"from": "NLP Work", "to": "wordnet.pdf", "width": 1}, {"from": "NLP Work", "to": "ngrams-assignment.pdf", "width": 1}, {"from": "NLP Work", "to": "summary.pdf", "width": 1}, {"from": "NLP Work", "to": "text-classification.pdf", "width": 1}, {"from": "NLP Work", "to": "RickMortyTwo.pdf", "width": 1}, {"from": "ML Work", "to": "nlp overview", "width": 1}, {"from": "ML Work", "to": "data exploration", "width": 1}, {"from": "ML Work", "to": "linear regression.pdf", "width": 1}, {"from": "ML Work", "to": "linear classification.pdf", "width": 1}, {"from": "ML Work", "to": "from scratch.pdf", "width": 1}, {"from": "ML Work", "to": "similarities main.pdf", "width": 1}, {"from": "ML Work", "to": "similarities regression.pdf", "width": 1}, {"from": "ML Work", "to": "similarities classification.pdf", "width": 1}, {"from": "ML Work", "to": "Clustering.pdf", "width": 1}, {"from": "ML Work", "to": "Dimensionality.pdf", "width": 1}, {"from": "ML Work", "to": "SVM and ensemble.pdf", "width": 1}, {"from": "ML Work", "to": "ClassificationSVM.pdf", "width": 1}, {"from": "ML Work", "to": "RegressionSVM.pdf", "width": 1}, {"from": "ML Work", "to": "keras_image_recognition.pdf", "width": 1}, {"from": "index", "to": "Summary_of_Attention_Article.pdf", "width": 1}, {"from": "index", "to": "keras_image_recognition.pdf", "width": 1}]);
+
+                  nodeColors = {};
+                  allNodes = nodes.get({ returnType: "Object" });
+                  for (nodeId in allNodes) {
+                    nodeColors[nodeId] = allNodes[nodeId].color;
+                  }
+                  allEdges = edges.get({ returnType: "Object" });
+                  // adding nodes and edges to the graph
+                  data = {nodes: nodes, edges: edges};
+
+                  var options = {
+    "configure": {
+        "enabled": false
+    },
+    "edges": {
+        "color": {
+            "inherit": true
+        },
+        "smooth": {
+            "enabled": true,
+            "type": "dynamic"
+        }
+    },
+    "interaction": {
+        "dragNodes": true,
+        "hideEdgesOnDrag": false,
+        "hideNodesOnDrag": false
+    },
+    "physics": {
+        "enabled": true,
+        "stabilization": {
+            "enabled": true,
+            "fit": true,
+            "iterations": 1000,
+            "onlyDynamicEdges": false,
+            "updateInterval": 50
+        }
+    }
+};
+
+
+
+
+
+
+                  network = new vis.Network(container, data, options);
+
+
+
+
+
+
+
+
+
+
+                  return network;
+
+              }
+              drawGraph();
+        </script>
+    </body>
+</html>
diff --git a/assets/img/Pasted image 20231029141843.png b/assets/img/Pasted image 20231029141843.png
diff --git a/assets/stylesheets/main.35e1ed30.min.css b/assets/stylesheets/main.35e1ed30.min.css
diff --git a/assets/stylesheets/main.35e1ed30.min.css.map b/assets/stylesheets/main.35e1ed30.min.css.map
diff --git a/assets/stylesheets/main.4b4a2bd9.min.css b/assets/stylesheets/main.4b4a2bd9.min.css
diff --git a/assets/stylesheets/main.4b4a2bd9.min.css.map b/assets/stylesheets/main.4b4a2bd9.min.css.map
diff --git a/ML Work/from scratch.pdf → from scratch.pdf b/ML Work/from scratch.pdf → from scratch.pdf
diff --git a/...ork/hugging-face.ipynb - Colaboratory.pdf → hugging-face.ipynb - Colaboratory.pdf b/...ork/hugging-face.ipynb - Colaboratory.pdf → hugging-face.ipynb - Colaboratory.pdf