Universe/Multimodal/IPEC at Shanghai AI Laboratory
OSS/community watchAutomated record

IPEC at Shanghai AI Laboratory

Emerging specialist

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Rising signal40.4
Rising rankLonglist
Profile completeness50%
Last public activityAug 10, 2026
01

Usage, audience and developer pull

1.4KHF model downloads124.4 per model
229HF followers276 total likes
446GitHub stars37 forks
11Model portfolio49 datasets · 2 Spaces

Emerging specialist

  • Usage outruns audience
02

What it publishes

Multimodal3D/Robotics/RL
Top tasks
image-text-to-text (4), robotics (4)
Model sizes
3-10B (9); Unknown (2)
Base families
Gemma, Qwen
Libraries
transformers
03

How it ships

Original repositories3
Forked repositories16
Pushed in 90 daysNot verified
Archived share0%
Languages
Jupyter Notebook, Vue, C++, Python
Topics
Not detected
Latest release
None in sample · Not observed
04

Latest observed moves

  1. HF modelModel published or updated
  2. HF datasetDataset published or updated
  3. GitHub pushRepository activity
  4. HF SpaceSpace published or updated
05

Publicly evidenced tooling

Training
Transformers
Compute
Not disclosed
Hardware
Not disclosed
Tracking
Not disclosed
Bottlenecks
Not disclosed

“Not disclosed” means no evidence was found in the sampled public metadata or top model card—not that the lab does not use the tool.

06

Nearest modality peers

Validate repeat users, benchmark delta, data advantage, distribution channel, and financing need.

  • HF member count is only a public-profile proxy
headquartersfoundedYearfoundersOrLeadershipemployeeCountfundingbusinessModelproducts

Completeness: 7 of 14 tracked field groups. Unknowns are explicit so an analyst can close them.

Every claim should be auditable.

Platform counters are a point-in-time public snapshot. Editorial facts are only promoted after source review.

Know when the thesis changes.

Weekly deltas, funding and team alerts, portfolio watchlists, CSV exports and an analyst-ready API turn a static profile into a sourcing system.

See tracker plans →