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rguthrie3
DeepLearningForNLPInPytorch
Jupyter Notebook2017–2017
rguthrie3 / DeepLearningForNLPInPytorch

DeepLearningForNLPInPytorch

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

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3Distinct people
3Mentions
0Explicit recommenders
2KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

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, 7:02:50 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 day3 dated mentions

Observed mentions: 2017-03-16 03:08:06 UTC to 2017-04-01 06:09:12 UTC.

012017-03-16 00:00:00 UTC to 2017-03-17 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsMar 162017-03-17 00:00:00 UTC to 2017-03-18 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2017-03-18 00:00:00 UTC to 2017-03-19 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-03-19 00:00:00 UTC to 2017-03-20 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-03-20 00:00:00 UTC to 2017-03-21 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-03-21 00:00:00 UTC to 2017-03-22 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-03-22 00:00:00 UTC to 2017-03-23 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-03-23 00:00:00 UTC to 2017-03-24 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-03-24 00:00:00 UTC to 2017-03-25 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsMar 242017-03-25 00:00:00 UTC to 2017-03-26 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-03-26 00:00:00 UTC to 2017-03-27 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-03-27 00:00:00 UTC to 2017-03-28 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-03-28 00:00:00 UTC to 2017-03-29 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-03-29 00:00:00 UTC to 2017-03-30 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-03-30 00:00:00 UTC to 2017-03-31 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-03-31 00:00:00 UTC to 2017-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-04-01 00:00:00 UTC to 2017-04-02 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsApr 1

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
Mar 162017-03-16 00:00:00 UTC2017-03-17 00:00:00 UTC110
Mar 172017-03-17 00:00:00 UTC2017-03-18 00:00:00 UTC110
Mar 182017-03-18 00:00:00 UTC2017-03-19 00:00:00 UTC000
Mar 192017-03-19 00:00:00 UTC2017-03-20 00:00:00 UTC000
Mar 202017-03-20 00:00:00 UTC2017-03-21 00:00:00 UTC000
Mar 212017-03-21 00:00:00 UTC2017-03-22 00:00:00 UTC000
Mar 222017-03-22 00:00:00 UTC2017-03-23 00:00:00 UTC000
Mar 232017-03-23 00:00:00 UTC2017-03-24 00:00:00 UTC000
Mar 242017-03-24 00:00:00 UTC2017-03-25 00:00:00 UTC000
Mar 252017-03-25 00:00:00 UTC2017-03-26 00:00:00 UTC000
Mar 262017-03-26 00:00:00 UTC2017-03-27 00:00:00 UTC000
Mar 272017-03-27 00:00:00 UTC2017-03-28 00:00:00 UTC000
Mar 282017-03-28 00:00:00 UTC2017-03-29 00:00:00 UTC000
Mar 292017-03-29 00:00:00 UTC2017-03-30 00:00:00 UTC000
Mar 302017-03-30 00:00:00 UTC2017-03-31 00:00:00 UTC000
Mar 312017-03-31 00:00:00 UTC2017-04-01 00:00:00 UTC000
Apr 12017-04-01 00:00:00 UTC2017-04-02 00:00:00 UTC101

What Hacker News says

1 sources
sprobertson·Apr 1, 2017
Here are some NLP classes: * Oxford Deep NLP Lectures https://github.com/oxford-cs-deepnlp-2017/lectures * Stanford Natural Language Processing with Deep Learning http://web.stanford.edu/class/cs224n/syllabus.html * Georgia Tech Natural Language Understanding https://github.com/jacobeisenstein/gt-nlp-class * Georgia Tech Deep Learning For NLP in PyTorch https://github.com/rguthrie3/DeepLearningForNLPInPytorch And some books: * Natural Language Processing with Python https://www.amazon.com/Natural-Language-Processing-Python-An... * Foundations of Statistical Natural Language Processing https://www.amazon.com/Foundations-Statistical-Natural-Langu...
In Ask HN: How to start with NLP

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