Library/DeepThinkVLA
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OpenBMB/DeepThinkVLA

DeepThinkVLA

DeepThinkVLA: Enhancing Reasoning Capability of Vision-Language-Action Models

Builder

OpenBMB

OpenBMB

OpenBMB • individual

Stars

503

Using upstream star count

Forks

47

Using upstream fork count

Open Issues

0

Activity Score

0/100

0 commits in 30d

Created

Oct 13, 2025

Project creation date

README Summary

DeepThinkVLA is a research project that enhances the reasoning capabilities of Vision-Language-Action (VLA) models by incorporating deep thinking mechanisms. The project focuses on improving how AI models process and reason about visual information in conjunction with language understanding and action planning. It appears to be part of OpenBMB's efforts to advance multimodal AI reasoning.

AI Dev Skills

Unmapped

multimodalvision-language-modelsmultimodal-aireasoningaction-planningdeep-learning

Tags

multimodalvision-language-modelsmultimodal-aireasoningaction-planningdeep-learningpytorchcomputer-visionnatural-language-processingroboticsai-research

Taxonomy

Recent Activity

Updated 2 months ago

7 Days

0

30 Days

0

90 Days

0

Quality

research
Quality
high
Maturity
research

Categories

RoboticsPrimaryOther AI / MLDev Tools & AutomationComputer VisionFoundation ModelsAI AgentsModel TrainingMultimodal AISearch & Knowledge

PM Skills

Developer Platform

Languages

Python100.0%

Timeline

Project created
Oct 13, 2025
Forked
Mar 31, 2026
Your last push
2 months ago
Upstream last push
2 months ago
Tracked since
Jan 19, 2026

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