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[task #15600] Submission of FUTURE (Powered by Monad)


From: Roberto Treviño Cervantes
Subject: [task #15600] Submission of FUTURE (Powered by Monad)
Date: Tue, 21 Apr 2020 14:42:15 -0400 (EDT)
User-agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.113 Safari/537.36

URL:
  <https://savannah.nongnu.org/task/?15600>

                 Summary: Submission of FUTURE (Powered by Monad)
                 Project: Savannah Administration
            Submitted by: majomuchi123
            Submitted on: mar 21 abr 2020 18:42:13 UTC
         Should Start On: mar 21 abr 2020 00:00:00 UTC
   Should be Finished on: vie 01 may 2020 00:00:00 UTC
                Category: Project Approval
                Priority: 5 - Normal
                  Status: None
                 Privacy: Public
        Percent Complete: 0%
             Assigned to: None
             Open/Closed: Open
         Discussion Lock: Any
                  Effort: 0.00

    _______________________________________________________

Details:

A new project has been registered at Savannah
This project account will remain inactive until a site admin approves
or discards the registration.


= Registration Administration =

While this item will be useful to track the registration process,
*approving or discarding the registration must be done using the specific
Group Administration
<https://savannah.nongnu.org/siteadmin/groupedit.php?group_id=12044> page*,
accessible only to site administrators,
effectively *logged as site administrators* (superuser):

* Group Administration
<https://savannah.nongnu.org/siteadmin/groupedit.php?group_id=12044>


= Registration Details =

* Name: *FUTURE (Powered by Monad)*
* System Name:  *future*
* Type: non-GNU software and documentation
* License: GNU General Public License v3 or later (N/A)

----

== Description: ==
FUTURE is a search engine that improves on traditional methods of search by
keyword
by instead relying on machine learning techniques to encode words as vectors,
and
capture their meaning and be able to return more precise matches, all while
dropping
user tracking as only the query is sufficient to retrieve meaningful data.
It was written with Python for backend, using Tensorflow and PyTorch and web
technologies like HTML, CSS and JS for the frontend.


== Other Software Required: ==
Tensorflow                      [Apache 2.0]                   
<https://github.com/tensorflow/tensorflow>
Flask                           [BSD 3-Clause]                 
<https://github.com/pallets/flask>
Flask_login                     [MIT]                          
<https://github.com/maxcountryman/flask-login>
Werkzeug                        [BSD 3-Clause]                 
<https://github.com/pallets/werkzeug>
Flask_scrypt                    [MIT]                          
<https://github.com/cryptojuice/flask-scrypt>
Flask_Mail                      [BSD License]                  
<https://github.com/mattupstate/flask-mail>
MongoDB                         [Server Side Public License]   
<https://github.com/mongodb/mongo>
MongoDB Python bindings         [Apache 2.0]                   
<https://github.com/mongodb/mongo-python-driver>
SymSpell                        [MIT]                          
<https://github.com/wolfgarbe/SymSpell/>
Polyglot                        [GPL v3]                       
<https://github.com/aboSamoor/polyglot/>
Beautifulsoup                   [BSD 2-Clause]                 
<https://code.launchpad.net/beautifulsoup>
BSON Python bindings            [Apache 2.0]                   
<https://github.com/py-bson/bson>
NumPy                           [BSD 3-Clause]                 
<https://github.com/numpy/numpy>
GeoPy                           [MIT]                          
<https://github.com/geopy/geopy>
SciKit Learn                    [BSD 3-Clause]                 
<https://github.com/scikit-learn/scikit-learn>
Pandas                          [BSD 3-Clause]                 
<https://github.com/pandas-dev/pandas>
PyTorch                         [BSD 3-Clause]                 
<https://github.com/pytorch/pytorch>
Gensim                          [LGPL 2.1]                     
<https://github.com/RaRe-Technologies/gensim>
NLTK                            [Apache 2.0]                   
<https://github.com/nltk/nltk>
Scrapy                          [BSD License]                  
<https://github.com/scrapy/scrapy>
H5PY                            [BSD 3-Clause]                 
<https://github.com/h5py/h5py>
LMBD                            [OpenLDAP]                     
<https://github.com/LMDB/lmdb>
LMBD Python bindings            [OpenLDAP]                     
<https://github.com/jnwatson/py-lmdb>
tldextract                      [BSD 3-Clause]                 
<https://github.com/john-kurkowski/tldextract>
Python Imaging Library (PIL)    [PIL License]                  
<http://www.pythonware.com/products/pil/>
COCO API (Python bindings)      [BSD 2-Clause]                 
<https://github.com/cocodataset/cocoapi>
WTForms                         [BSD 3-Clause]                 
<https://github.com/wtforms/wtforms>
Flask_wtf                       [BSD 3-Clause]                 
<https://github.com/lepture/flask-wtf>
HNSWLib                         [Apache 2.0]                   
<https://github.com/nmslib/hnswlib>
JQuery                          [MIT]                          
<https://github.com/jquery/jquery>
JQuery UI                       [MIT]                          
<https://github.com/jquery/jquery-ui>
Particles JS                    [MIT]                          
<https://github.com/VincentGarreau/particles.js/>
Simplebar                       [MIT]                          
<https://github.com/Grsmto/simplebar>
Ionicons                        [MIT]                          
<https://github.com/ionic-team/ionicons>
Source Sans Pro                 [OFL 1.1]                      
<https://github.com/adobe-fonts/source-sans-pro>
GloVe                           [Apache 2.0]                   
<https://github.com/stanfordnlp/GloVe>
TextScrambler                   [BSD-like]                     
<https://codepen.io/soulwire/pen/mErPAK>
NMT with Attention              [Apache 2.0]                   
<https://github.com/tensorflow/docs/blob/master/site/en/tutorials/text/nmt_with_attention.ipynb>
Transformer Chatbot             [Apache 2.0]                   
<https://github.com/tensorflow/examples/blob/master/community/en/transformer_chatbot.ipynb>
Image Captioning                [MIT]                          
<https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/03-advanced/image_captioning>


== Other Comments: ==
N/A


== Tarball URL: ==
https://savannah.nongnu.org/submissions_uploads/FUTURE.tar.gz






    _______________________________________________________

Reply to this item at:

  <https://savannah.nongnu.org/task/?15600>

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