Repository navigation
Expand file tree
/
Copy pathai.html
More file actions
221 lines (183 loc) · 12.3 KB
/
Copy pathai.html
File metadata and controls
221 lines (183 loc) · 12.3 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
<html lang="en">
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1">
<!-- SITE META -->
<title>Harsh Joshi|Artificial Intelligence </title>
<meta name="description" content="">
<meta name="author" content="Harsh Joshii">
<meta name="keywords" content="">
<!-- TEMPLATE STYLES -->
<link rel="stylesheet" type="text/css" href="css/bootstrap.css">
<link rel="stylesheet" type="text/css" href="style.css">
<link rel="stylesheet" type="text/css" href="css/colors.css">
<!--[if IE]>
<script src="http://html5shiv.googlecode.com/svn/trunk/html5.js"></script>
<![endif]-->
<style id="fit-vids-style">.fluid-width-video-wrapper{width:100%;position:relative;padding:0;}.fluid-width-video-wrapper iframe,.fluid-width-video-wrapper object,.fluid-width-video-wrapper embed {position:absolute;top:0;left:0;width:100%;height:100%;}</style></head>
<body>
<div id="wrapper">
<header class="header">
<section class="visual">
<div class="container">
<div class="text-block">
<div class="heading-holder">
<h1>AI</h1>
</div>
<p class="tagline">Machine Learning | Deep Learning | GANs</p>
<div class="infos">
<a href="https://github.com/josharsh" target="_top" class="fa fa-github"></a>
<a href="https://twitter.com/josharsh1" target="_top" class="fa fa-twitter"></a>
<a href="https://medium.com/@josharsh" target="_top" class="fa fa-medium"></a>
<a href="https://linkedin.com/in/josharsh" target="_top" class="fa fa-linkedin"></a>
</div>
</div>
</div>
<img src="upload/img-decor-01.jpg" alt="" class="bg-stretch">
</section></header>
<section class="section lb">
<div class="container">
<div class="row">
<div class="content col-md-9 col-sm-12">
<div class="blog-micro-wrapper">
<div class="row post-micro clearfix">
<div class="col-md-4">
<div class="post-media clearfix">
<a href="" title=""><img src="upload/aiart.png" alt="" class="img-responsive"></a>
</div><!-- end post-media -->
</div><!-- end col -->
<div class="col-md-8">
<!-- end meta -->
<h3 class="entry-title"><a href="https://www.researchgate.net/profile/Harsh_Joshi6" title="">AI Art using Generative Adversial Network</a></h3>
<div class="post-sharing clearfix">
<p>The project aims to draw the creative art portraits using Generative Adversial Networks. The project utilizes a Generative and Discriminatory approach. The two neural networks contest to generate the model representation of human distinguishable art.</p>
<ul>
<li>GAN</li>
<li>Image Processing</li>
<li>Deep Learning</li>
<li>Golden Ratio</li>
</ul>
</div><!-- end post-sharing -->
<a href="https://www.researchgate.net/profile/Harsh_Joshi6" title="" class="readmore">Click Here for More</a>
</div><!-- end col -->
</div><!-- end post-micro -->
</div><!-- end wrapper -->
<div class="blog-micro-wrapper">
<div class="row post-micro clearfix">
<div class="col-md-4">
<div class="post-media clearfix">
<a href="https://www.researchgate.net/profile/Harsh_Joshi6" title=""><img src="upload/mnm.png" alt="" class="img-responsive"></a>
</div><!-- end post-media -->
</div><!-- end col -->
<div class="col-md-8">
<!-- end meta -->
<h3 class="entry-title"><a href="https://www.researchgate.net/profile/Harsh_Joshi6" title="Human Behavious Modelling and Prediction">Human Behavior Modelling and Prediction</a></h3>
<div class="post-sharing clearfix">
<p>The web application intends to recursively model and train on Naive Bayes classifier to predict the user choice.
It utilizes relevance feedback and pseudo relevance feedback for better results. The application prospects to imbibe collaborative filtering into use
after classification.</p>
<ul>
<li>Machine Learning</li>
<li>Classifiers</li>
<li>Collaborative Filtering</li>
<li>Flask/HTML/CSS</li>
</ul>
</div><!-- end post-sharing -->
<a href="https://www.researchgate.net/profile/Harsh_Joshi6" title="" class="readmore">Click Here for More</a>
</div><!-- end col -->
</div><!-- end post-micro -->
</div><!-- end wrapper -->
<div class="blog-micro-wrapper">
<div class="row post-micro clearfix">
<div class="col-md-4">
<div class="post-media clearfix">
<a href="https://gitlab.com/minor-1-swarm-intelligence/minor-1-swarm-intelligence" title=""><img src="upload/pso.jpg" alt="" class="img-responsive"></a>
</div><!-- end post-media -->
</div><!-- end col -->
<div class="col-md-8">
<!-- end meta -->
<h3 class="entry-title"><a href="https://gitlab.com/minor-1-swarm-intelligence/minor-1-swarm-intelligence" title="Human Behavious Modelling and Prediction">Network Route Optimization Using PSO</a></h3>
<div class="post-sharing clearfix">
<p>The project aimed at Comparing and summarising the computer network routing
strategies in practice while investigating the optimization of these using PSO techniques. The project focused on optimizing networking routing using
Particle Swarm Optimization.</p>
<ul>
<li>Artificial Intelligence</li>
<li>Data Structures</li>
<li>Algorithms</li>
</ul>
</div><!-- end post-sharing -->
<a href="https://gitlab.com/minor-1-swarm-intelligence/minor-1-swarm-intelligence" title="" class="readmore">Click Here for More</a>
</div><!-- end col -->
</div><!-- end post-micro -->
</div><!-- end wrapper -->
</div><!-- end content -->
<div class="sidebar col-md-3 col-sm-12">
<div class="col-md-6" style="width:100%;">
<ul class="checkscore">
<li><i class="fa fa-check"></i>Python <br>
<div class="progress">
<div class="progress-bar progress-bar-success color10 wow slideInLeft" role="progressbar" aria-valuenow="90" aria-valuemin="0" aria-valuemax="100" style="width: 98%">
</div>
</div>
</li>
<li><i class="fa fa-info"></i> Numpy | SciPy | Pandas
<div class="progress">
<div class="progress-bar progress-bar-success color11 wow slideInLeft" role="progressbar" aria-valuenow="80" aria-valuemin="0" aria-valuemax="100" style="width: 90%">
</div>
</div>
</li>
<li><i class="fa fa-warning"></i> Machine Learning
<div class="progress">
<div class="progress-bar progress-bar-success color12 wow slideInLeft" role="progressbar" aria-valuenow="90" aria-valuemin="0" aria-valuemax="100" style="width: 85%">
</div>
</div>
</li>
<li><i class="fa fa-warning"></i> Deep Neural Networks | CNN | RNN
<div class="progress">
<div class="progress-bar progress-bar-success color13 wow slideInLeft" role="progressbar" aria-valuenow="90" aria-valuemin="0" aria-valuemax="100" style="width: 62%">
</div>
</div>
</li>
<li><i class="fa fa-warning"></i> Classifiers
<div class="progress">
<div class="progress-bar progress-bar-success color14 wow slideInLeft" role="progressbar" aria-valuenow="90" aria-valuemin="0" aria-valuemax="100" style="width: 92%">
</div>
</div>
</li>
<li><i class="fa fa-warning"></i> AI Applications
<div class="progress">
<div class="progress-bar progress-bar-success color15 wow slideInLeft" role="progressbar" aria-valuenow="90" aria-valuemin="0" aria-valuemax="100" style="width: 72%">
</div>
</div>
</li>
<li><i class="fa fa-warning"></i> GAN
<div class="progress">
<div class="progress-bar progress-bar-success color11 wow slideInLeft" role="progressbar" aria-valuenow="90" aria-valuemin="0" aria-valuemax="100" style="width: 50%">
</div>
</div>
</li>
</ul><!-- end check -->
</div>
<!-- end widget -->
<!-- end widget -->
<!-- end widget -->
<!-- end widget -->
<!-- end widget -->
</div><!-- end sidebar -->
</div><!-- end row -->
</div><!-- end container -->
</section>
<section class="section nopad c3">
<div class="container">
<!-- end row -->
</div><!-- end container -->
</section>
<!-- end footer -->
<!-- end copy -->
</div><!-- end wrapper -->
<script src="http://showwp.com/demos/seomarkt/js/jquery.min.js"></script>
<script src="http://showwp.com/demos/seomarkt/js/bootstrap.js"></script>
<script src="http://showwp.com/demos/seomarkt/js/plugins.js"></script>
<!-- Mirrored from showwp.com/demos/seomarkt/blog.html by HTTrack Website Copier/3.x [XR&CO'2014], Mon, 20 Jan 2020 18:57:11 GMT -->
</body></html>