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[ICLR 2025 Oral] Seer: Predictive Inverse Dynamics Models are Scalable Learners for Robotic Manipulation

active 2025-02-082025-07-10 (UTC)

Partial coverage11,884 / 13,308 hourly files (89%) · 2 absent upstream · 1,420 failed, retryable2025-02-022026-08-10 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
87
Pushes
5
Pull requests
0
Issues
9
Stars
62
Forks
5

Activity over time

Daily event counts in the loaded window

Line chart, 154 days from 2025-02-08 to 2025-07-23. Pushes: 5 total, peak 4 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 9 total, peak 1 in a day. Comments: 6 total, peak 2 in a day. Stars: 62 total, peak 3 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
Nimolty12503
16502922743002
sunwenzhang19962001
jo1jun1000
Wananci1000
AisenGinn1000

Recent activity

Latest issues, pull requests and releases

  • Issue#12jo1jun2025-06-25 04:58
    Camera Parameters for SEER Datasets
  • Issue comment#716502922742025-04-27 05:19
    Details about training on CALVIN-ABC-D dataset.
  • Issue comment#816502922742025-04-27 05:14
    How long does it take to run eval.sh
  • Issue#1116502922742025-04-26 09:16
    Problems in the eval_calvin process
  • Issue#10Nimolty2025-04-19 02:27
    Question about test dataset
  • Issue comment#10Nimolty2025-04-17 05:09
    Question about test dataset
  • Issue#9Nimolty2025-04-10 02:58
    Success rate and detail sequence length of using 10% of annotated data on CALVIN ABC→D dataset
  • Issue#9AisenGinn2025-04-06 03:30
    Success rate and detail sequence length of using 10% of annotated data on CALVIN ABC→D dataset
  • Issue comment#7sunwenzhang19962025-03-25 04:45
    Details about training on CALVIN-ABC-D dataset.
  • Issue#7sunwenzhang19962025-03-25 04:45
    Details about training on CALVIN-ABC-D dataset.
  • Issue comment#7Nimolty2025-03-25 04:02
    Details about training on CALVIN-ABC-D dataset.
  • Issue#6Nimolty2025-03-16 03:57
    Request for Subtask Success Rates in the CALVIN Experiment
  • Issue comment#6Nimolty2025-03-15 03:55
    Request for Subtask Success Rates in the CALVIN Experiment
  • Issue#4Nimolty2025-02-11 04:23
    Questions about visualizing predicted image.
  • Issue#4Wananci2025-02-09 23:26
    Questions about visualizing predicted image.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 62 stars here means stars gained during the window, not the repo's star count.