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MemNN
Lua2015–2015
facebookarchive / MemNN · Archived

MemNN

Memory Networks implementations

2Distinct people
2Mentions
0Explicit recommenders
1.8KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Memory Networks implementations

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by 3-hour interval2 dated mentions

Observed mentions: 2015-09-29 21:50:04 UTC to 2015-10-01 16:59:58 UTC.

012015-09-29 21:00:00 UTC to 2015-09-30 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsSep 29, 21:002015-09-30 00:00:00 UTC to 2015-09-30 03:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-09-30 03:00:00 UTC to 2015-09-30 06:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-09-30 06:00:00 UTC to 2015-09-30 09:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-09-30 09:00:00 UTC to 2015-09-30 12:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-09-30 12:00:00 UTC to 2015-09-30 15:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-09-30 15:00:00 UTC to 2015-09-30 18:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-09-30 18:00:00 UTC to 2015-09-30 21:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsSep 30, 18:002015-09-30 21:00:00 UTC to 2015-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-10-01 00:00:00 UTC to 2015-10-01 03:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-10-01 03:00:00 UTC to 2015-10-01 06:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-10-01 06:00:00 UTC to 2015-10-01 09:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-10-01 09:00:00 UTC to 2015-10-01 12:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-10-01 12:00:00 UTC to 2015-10-01 15:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-10-01 15:00:00 UTC to 2015-10-01 18:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsOct 1, 15:00

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Sep 29, 21:002015-09-29 21:00:00 UTC2015-09-30 00:00:00 UTC110
Sep 30, 00:002015-09-30 00:00:00 UTC2015-09-30 03:00:00 UTC000
Sep 30, 03:002015-09-30 03:00:00 UTC2015-09-30 06:00:00 UTC000
Sep 30, 06:002015-09-30 06:00:00 UTC2015-09-30 09:00:00 UTC000
Sep 30, 09:002015-09-30 09:00:00 UTC2015-09-30 12:00:00 UTC000
Sep 30, 12:002015-09-30 12:00:00 UTC2015-09-30 15:00:00 UTC000
Sep 30, 15:002015-09-30 15:00:00 UTC2015-09-30 18:00:00 UTC000
Sep 30, 18:002015-09-30 18:00:00 UTC2015-09-30 21:00:00 UTC000
Sep 30, 21:002015-09-30 21:00:00 UTC2015-10-01 00:00:00 UTC000
Oct 1, 00:002015-10-01 00:00:00 UTC2015-10-01 03:00:00 UTC000
Oct 1, 03:002015-10-01 03:00:00 UTC2015-10-01 06:00:00 UTC000
Oct 1, 06:002015-10-01 06:00:00 UTC2015-10-01 09:00:00 UTC000
Oct 1, 09:002015-10-01 09:00:00 UTC2015-10-01 12:00:00 UTC000
Oct 1, 12:002015-10-01 12:00:00 UTC2015-10-01 15:00:00 UTC000
Oct 1, 15:002015-10-01 15:00:00 UTC2015-10-01 18:00:00 UTC101

What Hacker News says

2 sources
https://github.com/facebook/MemNN should be in the language modelling (or Deep Learning) part. I'll give them a pass because it was only released a couple of days ago. The original Word2Vec[1] is missing too. While Gensim and Glove are nice, Word2Vec still outperforms them both in some circumstances. Surely there is a good LTSM language modelling project somewhere too? I can't think of one off the top of my head though. There's some code in Keras[2], but maybe Karpathy's char-RNN would be better[3] because of the documentation. [1] https://code.google.com/p/word2vec/ [2] https://github.com/fchollet/keras/blob/master/examples/lstm_... [3] https://github.com/karpathy/char-rnn
In Curated list of speech and natural language processing resources

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