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transcranial
keras-js
JavaScript2016–2017
transcranial / keras-js

keras-js

Run Keras models in the browser, with GPU support using WebGL

6Distinct people
8Mentions
0Explicit recommenders
5KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Run Keras models in the browser, with GPU support using WebGL

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, 5:04:57 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 month8 dated mentions

Observed mentions: 2016-10-13 23:03:25 UTC to 2017-10-25 20:21:02 UTC.

0122016-10-01 00:00:00 UTC to 2016-11-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 commentsOct 20162016-11-01 00:00:00 UTC to 2016-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-12-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-01-01 00:00:00 UTC to 2017-02-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2017-02-01 00:00:00 UTC to 2017-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-03-01 00:00:00 UTC to 2017-04-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2017-04-01 00:00:00 UTC to 2017-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsApr 20172017-05-01 00:00:00 UTC to 2017-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-06-01 00:00:00 UTC to 2017-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-07-01 00:00:00 UTC to 2017-08-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2017-08-01 00:00:00 UTC to 2017-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-09-01 00:00:00 UTC to 2017-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-10-01 00:00:00 UTC to 2017-11-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsOct 2017

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
Oct 20162016-10-01 00:00:00 UTC2016-11-01 00:00:00 UTC211
Nov 20162016-11-01 00:00:00 UTC2016-12-01 00:00:00 UTC000
Dec 20162016-12-01 00:00:00 UTC2017-01-01 00:00:00 UTC000
Jan 20172017-01-01 00:00:00 UTC2017-02-01 00:00:00 UTC202
Feb 20172017-02-01 00:00:00 UTC2017-03-01 00:00:00 UTC000
Mar 20172017-03-01 00:00:00 UTC2017-04-01 00:00:00 UTC101
Apr 20172017-04-01 00:00:00 UTC2017-05-01 00:00:00 UTC000
May 20172017-05-01 00:00:00 UTC2017-06-01 00:00:00 UTC000
Jun 20172017-06-01 00:00:00 UTC2017-07-01 00:00:00 UTC000
Jul 20172017-07-01 00:00:00 UTC2017-08-01 00:00:00 UTC202
Aug 20172017-08-01 00:00:00 UTC2017-09-01 00:00:00 UTC000
Sep 20172017-09-01 00:00:00 UTC2017-10-01 00:00:00 UTC000
Oct 20172017-10-01 00:00:00 UTC2017-11-01 00:00:00 UTC101

What Hacker News says

8 sources
Ha very nice! I made a vary similar (but much rougher around the edges) project for fun a few months ago using a smaller french corpus of press releases from La Quadrature du Net (a non-profit lobbying for net neutrality in France and Europe). There is a live demo at http://jorquera.net/quadra_neural/. You can press tab to auto-complete word-by-word, or just start typing and the suggestions update on the fly. Instead of "Weirdness" I called my cursor "Drunkenness" :) I used keras-js (https://github.com/transcranial/keras-js) to run my model in the browser. If you are interested in this kind of experiments, do go for it! It's quite accessible, and projects of this scale do not require heavy hardware (I generated my models using a GTX 770). If you need a kickstart, in addition to the repo from the OP all the code for my project is Free Sof
Read the rest
tware (https://github.com/tomjorquera/quadra_neural), and I tried to document the generation process in a jupyter notepad https://github.com/tomjorquera/quadra_neural/blob/master/gen.... While I did it on a french corpus, it should work with any language. I used two main resources for inspiration : - http://karpathy.github.io/2015/05/21/rnn-effectiveness/ - https://github.com/fchollet/keras/blob/master/examples/lstm_...
In Show HN: Cyborg Writer - In-Browser Text Editor with Neural Autocomplete

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