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malmaud
TensorFlow.jl
Julia2016–2019
malmaud / TensorFlow.jl

TensorFlow.jl

A Julia wrapper for TensorFlow

10Distinct people
10Mentions
0Explicit recommenders
883GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A Julia wrapper for TensorFlow

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

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 4:01:40 AM 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 year10 dated mentions

Observed mentions: 2016-09-29 14:43:26 UTC to 2019-06-28 11:51:37 UTC.

012342016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 2 mentions; 2 submissions, 0 comments20162017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20172018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2019

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
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC220
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC101
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC404
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC303

What Hacker News says

1 sources
* matplotlib is wrapped by PyPlot.jl. * TensorFlow is wrapped by TensorFlow.jl, improves on Python API (https://github.com/malmaud/TensorFlow.jl/blob/master/docs/sr...) * Pandas is wrapped by Pandas.jl, interfaces with Julia's DataFrame, generally excellent. * Images.jl is a 60%-to-70% replacement for scikit-image. * NumPy and SciPy are mostly covered by StatsBase and Base, can't think of anything off-hand that's missing. Julia's still immature in the machine learning domain, but a lot of new work is being done. One interesting somewhat-new package is Madeleine Udell's LowRankModels.jl, which has a particularly Julian approach to low rank fitting.
In Julia Computing Raises $4.6M in Seed Funding

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