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dgasmith
opt_einsum
Python2019–2019
dgasmith / opt_einsum

opt_einsum

⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.

2Distinct people
2Mentions
0Explicit recommenders
993GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.

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 week2 dated mentions

Observed mentions: 2019-01-23 12:56:14 UTC to 2019-06-05 22:26:08 UTC. Weeks start Monday, UTC.

012019-01-21 00:00:00 UTC to 2019-01-28 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJan 212019-01-28 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): 0 mentions; 0 submissions, 0 comments2019-03-04 00:00:00 UTC to 2019-03-11 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-03-11 00:00:00 UTC to 2019-03-18 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-03-18 00:00:00 UTC to 2019-03-25 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-03-25 00:00:00 UTC to 2019-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsMar 252019-04-01 00:00:00 UTC to 2019-04-08 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-04-08 00:00:00 UTC to 2019-04-15 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-04-15 00:00:00 UTC to 2019-04-22 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-04-22 00:00:00 UTC to 2019-04-29 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-04-29 00:00:00 UTC to 2019-05-06 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-05-06 00:00:00 UTC to 2019-05-13 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-05-13 00:00:00 UTC to 2019-05-20 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-05-20 00:00:00 UTC to 2019-05-27 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-05-27 00:00:00 UTC to 2019-06-03 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-06-03 00:00:00 UTC to 2019-06-10 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJun 3

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 212019-01-21 00:00:00 UTC2019-01-28 00:00:00 UTC101
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 UTC000
Mar 42019-03-04 00:00:00 UTC2019-03-11 00:00:00 UTC000
Mar 112019-03-11 00:00:00 UTC2019-03-18 00:00:00 UTC000
Mar 182019-03-18 00:00:00 UTC2019-03-25 00:00:00 UTC000
Mar 252019-03-25 00:00:00 UTC2019-04-01 00:00:00 UTC000
Apr 12019-04-01 00:00:00 UTC2019-04-08 00:00:00 UTC000
Apr 82019-04-08 00:00:00 UTC2019-04-15 00:00:00 UTC000
Apr 152019-04-15 00:00:00 UTC2019-04-22 00:00:00 UTC000
Apr 222019-04-22 00:00:00 UTC2019-04-29 00:00:00 UTC000
Apr 292019-04-29 00:00:00 UTC2019-05-06 00:00:00 UTC000
May 62019-05-06 00:00:00 UTC2019-05-13 00:00:00 UTC000
May 132019-05-13 00:00:00 UTC2019-05-20 00:00:00 UTC000
May 202019-05-20 00:00:00 UTC2019-05-27 00:00:00 UTC000
May 272019-05-27 00:00:00 UTC2019-06-03 00:00:00 UTC000
Jun 32019-06-03 00:00:00 UTC2019-06-10 00:00:00 UTC101

What Hacker News says

2 sources
>it's from 2016 so the title should be updated I will try to update the title. There are no changes since then that diminish this document's value - the einsum notation is still the same. The biggest change since then is that the numpy.einsum implementation has been tremendously optimized and has become the benchmark in capabilities that other libraries follow. Edit: Opt_Einsum is amazing and was a big part of the optimization efforts - it has been merged fully into numpy since v1.12. See https://github.com/dgasmith/opt_einsum#news-opt_einsum-will-...
In Einstein Summation in Numpy

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