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PriorLabs
tabpfn-time-series
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PriorLabs / tabpfn-time-series

tabpfn-time-series

Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)

Data & Databases
Explore on GitHubRead Hacker News discussions
2Distinct people
2Mentions
0Explicit recommenders
478GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)

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: 2025-01-09 17:17:45 UTC to 2025-01-10 12:11:45 UTC.

012025-01-09 17:00:00 UTC to 2025-01-09 18:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJan 9, 17:002025-01-09 18:00:00 UTC to 2025-01-09 19:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-09 19:00:00 UTC to 2025-01-09 20:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-09 20:00:00 UTC to 2025-01-09 21:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-09 21:00:00 UTC to 2025-01-09 22:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-09 22:00:00 UTC to 2025-01-09 23:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-09 23:00:00 UTC to 2025-01-10 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-10 00:00:00 UTC to 2025-01-10 01:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-10 01:00:00 UTC to 2025-01-10 02:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-10 02:00:00 UTC to 2025-01-10 03:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsJan 10, 02:002025-01-10 03:00:00 UTC to 2025-01-10 04:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-10 04:00:00 UTC to 2025-01-10 05:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-10 05:00:00 UTC to 2025-01-10 06:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-10 06:00:00 UTC to 2025-01-10 07:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-10 07:00:00 UTC to 2025-01-10 08:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-10 08:00:00 UTC to 2025-01-10 09:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-10 09:00:00 UTC to 2025-01-10 10:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-10 10:00:00 UTC to 2025-01-10 11:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-10 11:00:00 UTC to 2025-01-10 12:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-10 12:00:00 UTC to 2025-01-10 13:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJan 10, 12:00

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
Jan 9, 17:002025-01-09 17:00:00 UTC2025-01-09 18:00:00 UTC101
Jan 9, 18:002025-01-09 18:00:00 UTC2025-01-09 19:00:00 UTC000
Jan 9, 19:002025-01-09 19:00:00 UTC2025-01-09 20:00:00 UTC000
Jan 9, 20:002025-01-09 20:00:00 UTC2025-01-09 21:00:00 UTC000
Jan 9, 21:002025-01-09 21:00:00 UTC2025-01-09 22:00:00 UTC000
Jan 9, 22:002025-01-09 22:00:00 UTC2025-01-09 23:00:00 UTC000
Jan 9, 23:002025-01-09 23:00:00 UTC2025-01-10 00:00:00 UTC000
Jan 10, 00:002025-01-10 00:00:00 UTC2025-01-10 01:00:00 UTC000
Jan 10, 01:002025-01-10 01:00:00 UTC2025-01-10 02:00:00 UTC000
Jan 10, 02:002025-01-10 02:00:00 UTC2025-01-10 03:00:00 UTC000
Jan 10, 03:002025-01-10 03:00:00 UTC2025-01-10 04:00:00 UTC000
Jan 10, 04:002025-01-10 04:00:00 UTC2025-01-10 05:00:00 UTC000
Jan 10, 05:002025-01-10 05:00:00 UTC2025-01-10 06:00:00 UTC000
Jan 10, 06:002025-01-10 06:00:00 UTC2025-01-10 07:00:00 UTC000
Jan 10, 07:002025-01-10 07:00:00 UTC2025-01-10 08:00:00 UTC000
Jan 10, 08:002025-01-10 08:00:00 UTC2025-01-10 09:00:00 UTC000
Jan 10, 09:002025-01-10 09:00:00 UTC2025-01-10 10:00:00 UTC000
Jan 10, 10:002025-01-10 10:00:00 UTC2025-01-10 11:00:00 UTC000
Jan 10, 11:002025-01-10 11:00:00 UTC2025-01-10 12:00:00 UTC000
Jan 10, 12:002025-01-10 12:00:00 UTC2025-01-10 13:00:00 UTC101

What Hacker News says

2 sources
ersiees·Jan 10, 2025
Author here! Thanks :) 1. Only for the first version, not for this version. I am sorry! 2. Yeah ours is guaranteed ok, as we wrote code to generate it basically just from plain torch ops. The code to run inference is available, just not the training code and data generation. 3. We have put it to work on time series data, which is very business relevant for example https://github.com/liam-sbhoo/tabpfn-time-series, and we have a table in the Appendix with all datasets we evaluate on in our main analysis to give you some ideas for possible datasets.
In Show HN: TabPFN v2 – A SOTA foundation model for small tabular data

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