mbzuai-oryx/groundingLMM
[CVPR 2024 🔥] Grounding Large Multimodal Model (GLaMM), the first-of-its-kind model capable of generating natural language responses that are seamlessly integrated with object segmentation masks.
Latest metrics (snapshot 2026-10-15)
| stars | 969 |
|---|---|
| forks | 56 |
| issues | 36 |
| pushed_at | 2026-09-05T16:56:25Z |
History
History chart: 1 daily snapshot so far (archive started 2026-10-14). The line fills in as the daily archive grows; full series via the API.
| Date | GitHub stars |
|---|---|
| 2026-10-15 | 969 |
ADC Momentum: 20/100
| Growth velocity | 28 |
|---|---|
| Consistency | 22 |
| Recency | 14 |
| Agent demand | 0 |
| Basis | bootstrap |
ADC Momentum (0-100) = 45% growth velocity (stars/likes gained per day in our daily archive, relative and absolute, percentile-ranked within the category) + 20% consistency (share of recent days with growth) + 20% recency (latest push/update/release, decaying) + 15% agent demand (how often AI agents looked it up via our API/MCP this week). MCP servers use release cadence; LLMs use price cuts, context and recency. Recomputed daily; scores marked "bootstrap" use lifetime rates until the archive has enough days. Method
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[](https://agentdataco.com/repo/mbzuai-oryx/groundingLMM)<a href="https://agentdataco.com/repo/mbzuai-oryx/groundingLMM"><img src="https://agentdataco.com/badge/repo/mbzuai-oryx/groundingLMM.svg" alt="ADC Momentum"></a>Details
| description | [CVPR 2024 🔥] Grounding Large Multimodal Model (GLaMM), the first-of-its-kind model capable of generating natural language responses that are seamlessly integrated with object segmentation masks. |
|---|---|
| url | https://github.com/mbzuai-oryx/groundingLMM |
| language | Python |
| license | Apache-2.0 |
| topics | foundation-models llm-agent lmm vision-and-language vision-language-model |
| created_at | 2023-11-02T16:53:47Z |
| homepage | https://grounding-anything.com |
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