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hswick
jutsu.ai
Clojure2018–2019
hswick / jutsu.ai

jutsu.ai

Clojure wrapper for deeplearning4j

3Distinct people
3Mentions
0Explicit recommenders
101GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Clojure wrapper for deeplearning4j

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 week3 dated mentions

Observed mentions: 2018-12-02 22:41:16 UTC to 2019-03-01 14:17:26 UTC. Weeks start Monday, UTC.

0122018-11-26 00:00:00 UTC to 2018-12-03 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 commentsNov 262018-12-03 00:00:00 UTC to 2018-12-10 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-12-10 00:00:00 UTC to 2018-12-17 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-12-17 00:00:00 UTC to 2018-12-24 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-12-24 00:00:00 UTC to 2018-12-31 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-12-31 00:00:00 UTC to 2019-01-07 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-01-07 00:00:00 UTC to 2019-01-14 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsJan 72019-01-14 00:00:00 UTC to 2019-01-21 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-01-21 00:00:00 UTC to 2019-01-28 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-01-28 00:00:00 UTC to 2019-02-04 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-02-04 00:00:00 UTC to 2019-02-11 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-02-11 00:00:00 UTC to 2019-02-18 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-02-18 00:00:00 UTC to 2019-02-25 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-02-25 00:00:00 UTC to 2019-03-04 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsFeb 25

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
Nov 262018-11-26 00:00:00 UTC2018-12-03 00:00:00 UTC202
Dec 32018-12-03 00:00:00 UTC2018-12-10 00:00:00 UTC000
Dec 102018-12-10 00:00:00 UTC2018-12-17 00:00:00 UTC000
Dec 172018-12-17 00:00:00 UTC2018-12-24 00:00:00 UTC000
Dec 242018-12-24 00:00:00 UTC2018-12-31 00:00:00 UTC000
Dec 312018-12-31 00:00:00 UTC2019-01-07 00:00:00 UTC000
Jan 72019-01-07 00:00:00 UTC2019-01-14 00:00:00 UTC000
Jan 142019-01-14 00:00:00 UTC2019-01-21 00:00:00 UTC000
Jan 212019-01-21 00:00:00 UTC2019-01-28 00:00:00 UTC000
Jan 282019-01-28 00:00:00 UTC2019-02-04 00:00:00 UTC000
Feb 42019-02-04 00:00:00 UTC2019-02-11 00:00:00 UTC000
Feb 112019-02-11 00:00:00 UTC2019-02-18 00:00:00 UTC000
Feb 182019-02-18 00:00:00 UTC2019-02-25 00:00:00 UTC000
Feb 252019-02-25 00:00:00 UTC2019-03-04 00:00:00 UTC110

What Hacker News says

3 sources
Hi Mark, I want to correct one thing. My company is behind dl4j. We are also the second largest contributor to keras. We have near perfect model import (with keras contributors maintaining it). Dl4j also has TF import and a native graph runner: https://github.com/deeplearning4j/dl4j-examples/tree/master/... Java itself tends to be fairly verbose I know, but not only are there wrappers but for inference if you want to use python for basics and then us for inference. We enable several ways to do that. Folks tend to oversensationlize these "us vs them" framework "fights". Rather than do that, why not just use what's good for each use case? Python for training, java for deployment? Beyond that, you could also consider building your own wrapper maybe? In clojure, there's jutsu.ai for example: https://github.com/hswick/jutsu.ai
In The deepest problem with deep learning

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