HackerReposA FIELD GUIDE TO OPEN SOURCE
ProSponsor the shelf♧ 0
← Back to top all-time
ConnorJL
GPT2
Python2019–2019
ConnorJL / GPT2

GPT2

An implementation of training for GPT2, supports TPUs

2Distinct people
2Mentions
0Explicit recommenders
1.4KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

An implementation of training for GPT2, supports TPUs

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 hour2 dated mentions

Observed mentions: 2019-06-08 06:02:25 UTC to 2019-06-08 08:16:54 UTC.

012019-06-08 06:00:00 UTC to 2019-06-08 07:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJun 8, 06:002019-06-08 07:00:00 UTC to 2019-06-08 08:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsJun 8, 07:002019-06-08 08:00:00 UTC to 2019-06-08 09:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJun 8, 08:00

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
Jun 8, 06:002019-06-08 06:00:00 UTC2019-06-08 07:00:00 UTC101
Jun 8, 07:002019-06-08 07:00:00 UTC2019-06-08 08:00:00 UTC000
Jun 8, 08:002019-06-08 08:00:00 UTC2019-06-08 09:00:00 UTC101

What Hacker News says

2 sources
The published samples from the author's replicated GPT2-1.5M [1] look nothing like the ones from OpenAI's original publication. I really would have loved to see a student with no funding replicating a super large state of the art model, but unfortunately he must either have collected lower-quality data for training, or have failed to replicate every aspect of the model. Almost none of the generated samples have anything to do with the input text, and many of them don't even make any sense. [1] https://github.com/ConnorJL/GPT2/tree/master/samples
In GPT2, Counting Consciousness and the Curious Hacker

MAKE YOURSELF AT HOME

A few shortcuts

/
Search the collection
?
Open this guide
Esc
Close dialogs and navigation

Your saved repositories and interests stay in this browser.