Merge branch 'master' into master

Author: terriko

index.html

@@ -547,6 +547,7 @@ <h2>Project Ideas</h2>
       </td>
    <tr><td colspan="2" class="good">Status: Ideas page in progress</td></tr>
 </tr>
+
 <tr>
   <!-- Logo -->
   <td rowspan="4" class="logo">
@@ -581,10 +582,70 @@ <h2>Project Ideas</h2>
   <tr><td><a href="http://kivy.org">Website</a> |
       <a href="https://kivy.org/docs/contact.html">Contact</a> |
     <a href="https://kivy.org/docs/gsoc.html">Ideas Page</a>
+    </td>
+   <tr><td colspan="2" class="good">Status: Ideas page in progress</td></tr>
+</tr>
+
+<tr>
+
+  <!-- Logo -->
+  <td rowspan="4" class="logo">
+    <img src="http://www.hydra-cg.com/img/logo.png" width="128px"></td>
+  <!-- Info -->
+  <td><h4>HYDRA W3C Group</h4></td>
+   <tr><td>A Python server/middleware to automate Web APIs navigation using intelligent clients. This project aims to: 
+<ul>
+    <li>create a metadata-powered REST API leveraging HYDRA framework,</li>
+    <li>define a design for future development of client/server interactions using smart clients,</li>
+    <li>use graphs and machine-learning to solve complex queries using HYDRA framework,</li>
+    <li>define a middleware (low-level client) to collect requests from external
+    clients and provide the requested data using reasoning and machine-learning algorithms</li>.
+  </ul>
+</td></tr>
+  <tr><td><a href="http://www.hydra-cg.com/">Website</a> |
+      <a href="https://www.w3.org/community/hydra/">Contact</a> |
+    <a href="http://hydra-gsoc.appspot.com/s">Ideas Page</a>
+    </td>
+   <tr><td colspan="2" class="good">Status: Ideas page in progress</td></tr>
+</tr>
+
 
       </td>
    <tr><td colspan="2" class="good">Status: Ideas page in progress</td></tr>
 </tr>
+
+	<!-- Logo -->
+	<td rowspan="4" class="logo">
+		<img src="http://www.statsmodels.org/devel/_static/statsmodels_hybi_banner.png" 
+		     width="300px"></td>
+	<!-- Info -->
+	<td><h4>Statsmodels</h4></td>
+   <tr><td>Statsmodels is a general purpose Python package for data analysis, statistics and econometrics </td></tr>
+   <tr><td><a href="http://www.statsmodels.org/devel/">Website</a> |
+           <a href="http://groups.google.com/group/pystatsmodels">Contact</a> |
+           <a href="https://github.com/statsmodels/statsmodels/wiki/Google-Summer-of-Code-2017">Ideas Page</a>
+   </td>
+   <tr><td colspan="2" class="good">Status: Ideas page in progress</td></tr>
+</tr>
+
+<tr>
+ <!-- Logo -->
+ <td rowspan="4" class="logo">
+         <img src="http://91.68.209.10/bmi/martinos.org/mne/stable/_static/mne_logo.png"
+width="256px"></td>
+ <!-- Info -->
+ <td><h4>MNE-Python</h4></td>
+   <tr><td>MNE is a free and open source software designed for processing electroencephalography (EEG) and magnetoencephalography (MEG) data. EEG and MEG data analysis requires advanced numerics, signal processing, statistics and dedicated visualization tools. MNE-Python is a pure Python package built on top of numpy, scipy, matplotlib and scikit-learn.
+  </td></tr>
+  <tr>
+  <td>
+    <a href="http://martinos.org/mne/">Website</a> |
+    <a href="http://github.com/mne-tools/mne-python">Contact</a> |
+    <a href="https://github.com/mne-tools/mne-python/wiki/GSOC-Ideas">Ideas Page</a>
+   </td>
+   <tr><td colspan="2" class="good">Status: Ideas page in progress</td></tr>
+</tr>
+
 </table>
 
 <a name="schedule" />