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fbcunn
Lua2015–2016
facebookarchive / fbcunn · Archived

fbcunn

Facebook's extensions to torch/cunn.

7Distinct people
7Mentions
0Explicit recommenders
1.1KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Facebook's extensions to torch/cunn.

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 month7 dated mentions

Observed mentions: 2015-01-16 19:42:24 UTC to 2016-11-10 16:39:00 UTC.

01232015-01-01 00:00:00 UTC to 2015-02-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 commentsJan 20152015-02-01 00:00:00 UTC to 2015-03-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2015-03-01 00:00:00 UTC to 2015-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-04-01 00:00:00 UTC to 2015-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-05-01 00:00:00 UTC to 2015-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-06-01 00:00:00 UTC to 2015-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-07-01 00:00:00 UTC to 2015-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-08-01 00:00:00 UTC to 2015-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-09-01 00:00:00 UTC to 2015-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-10-01 00:00:00 UTC to 2015-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-11-01 00:00:00 UTC to 2015-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-12-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsDec 20152016-01-01 00:00:00 UTC to 2016-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-02-01 00:00:00 UTC to 2016-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-03-01 00:00:00 UTC to 2016-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-04-01 00:00:00 UTC to 2016-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-05-01 00:00:00 UTC to 2016-06-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2016-06-01 00:00:00 UTC to 2016-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-07-01 00:00:00 UTC to 2016-08-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2016-08-01 00:00:00 UTC to 2016-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-09-01 00:00:00 UTC to 2016-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-10-01 00:00:00 UTC to 2016-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-11-01 00:00:00 UTC to 2016-12-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsNov 2016

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
Jan 20152015-01-01 00:00:00 UTC2015-02-01 00:00:00 UTC303
Feb 20152015-02-01 00:00:00 UTC2015-03-01 00:00:00 UTC101
Mar 20152015-03-01 00:00:00 UTC2015-04-01 00:00:00 UTC000
Apr 20152015-04-01 00:00:00 UTC2015-05-01 00:00:00 UTC000
May 20152015-05-01 00:00:00 UTC2015-06-01 00:00:00 UTC000
Jun 20152015-06-01 00:00:00 UTC2015-07-01 00:00:00 UTC000
Jul 20152015-07-01 00:00:00 UTC2015-08-01 00:00:00 UTC000
Aug 20152015-08-01 00:00:00 UTC2015-09-01 00:00:00 UTC000
Sep 20152015-09-01 00:00:00 UTC2015-10-01 00:00:00 UTC000
Oct 20152015-10-01 00:00:00 UTC2015-11-01 00:00:00 UTC000
Nov 20152015-11-01 00:00:00 UTC2015-12-01 00:00:00 UTC000
Dec 20152015-12-01 00:00:00 UTC2016-01-01 00:00:00 UTC000
Jan 20162016-01-01 00:00:00 UTC2016-02-01 00:00:00 UTC000
Feb 20162016-02-01 00:00:00 UTC2016-03-01 00:00:00 UTC000
Mar 20162016-03-01 00:00:00 UTC2016-04-01 00:00:00 UTC000
Apr 20162016-04-01 00:00:00 UTC2016-05-01 00:00:00 UTC000
May 20162016-05-01 00:00:00 UTC2016-06-01 00:00:00 UTC101
Jun 20162016-06-01 00:00:00 UTC2016-07-01 00:00:00 UTC000
Jul 20162016-07-01 00:00:00 UTC2016-08-01 00:00:00 UTC101
Aug 20162016-08-01 00:00:00 UTC2016-09-01 00:00:00 UTC000
Sep 20162016-09-01 00:00:00 UTC2016-10-01 00:00:00 UTC000
Oct 20162016-10-01 00:00:00 UTC2016-11-01 00:00:00 UTC000
Nov 20162016-11-01 00:00:00 UTC2016-12-01 00:00:00 UTC101

What Hacker News says

7 sources
This quote caught my attention: "Caffe2go is core to the machine learning products at Facebook, together with research toolchains such as Torch. Because of its size, speed, and flexibility, we're rolling Caffe2go out across Facebook's stack." Does this mean that Torch will forever be relegated to R&D status within Facebook while production apps will always be Caffe, similar to the two-language problem[1] that Julia aims to solve? I know that Yann Lecun created Lush and Torch7 is a spiritual successor, which was used for many years in the Lecun's NYU AI research lab[2], but am curious if this means a slow decline of Torch's relevance despite the numerous Facebook torch extensions[3] released relatively recently. [1] https://www.opendatascience.com/conferences/odsc-east-2016-s... [2] https://www.reddit.com/r/MachineLearning/comments/25lnbt/
Read the rest
In Delivering real-time AI in the palm of your hand
Deep Learning systems are becoming C++11's halo projects. Here are some deep learning libraries from the Internet Big 4. Amazon DSSTNE - https://github.com/amznlabs/amazon-dsstne Google TensorFlow - https://github.com/tensorflow/tensorflow/ Microsoft CNTK - https://github.com/Microsoft/CNTK/ Facebook fbcunn - https://github.com/facebook/fbcunn/ They all utilize C++11 or later. Just as Hadoop pushed Java in the big data, map-reduce realm, I think these libraries will push C++11 in the Deep Learning realm.
In Amazon DSSTNE: Deep Scalable Sparse Tensor Network Engine
No. The license has a chilling clause that says if you ever suggest that any Facebook patent might be invalid, your license to use their code is automatically revoked. And in corporate world, that means any comment of any of your employees in an official capacity. Edit downvotes, well maybe the text of the clause will help > The license granted hereunder will terminate, automatically and without notice, for anyone that makes any claim ... by ... assertion or other action ... alleging .. that any right in any patent claim of Facebook is invalid or unenforceable. > https://github.com/facebook/fbcunn/blob/master/PATENTS
In Ask HN: Is it safe to use Facebook's open source projects?
How can they claim this text file applies? There is also a file with the industry-standard name LICENSE (https://github.com/facebook/fbcunn/blob/master/LICENSE), with a standard looking BSD license in it. Surely somebody using it could claim that was the file that applied, and this other non-standard whimsical "PATENTS" file was irrelevant? Or can people just bury random licenses deep inside copyrighted works, and expect them to apply?
In Facebook open-sources deep-learning modules

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