Awesome-Multimodal-Large-Language-Models and Awesome-VLA

A is a comprehensive collection of resources on multimodal large language models, including Vision Language Action (VLA) models, making B, which specifically focuses on VLA advancements, a specialized subset or a more focused alternative to A within the broader multimodal LLM ecosystem.

Maintenance 17/25
Adoption 10/25
Maturity 8/25
Community 18/25
Maintenance 10/25
Adoption 9/25
Maturity 7/25
Community 7/25
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About Awesome-Multimodal-Large-Language-Models

BradyFU/Awesome-Multimodal-Large-Language-Models

:sparkles::sparkles:Latest Advances on Multimodal Large Language Models

This resource helps AI researchers and practitioners stay current with the rapidly evolving field of Multimodal Large Language Models (MLLMs). It provides curated lists of significant research papers, comprehensive surveys, and evaluation benchmarks for MLLMs. The intended users are researchers, students, and engineers who are actively working on or studying advanced AI models that integrate different data types like text, images, and audio.

AI research natural language processing computer vision multimodal AI machine learning

About Awesome-VLA

Orlando-CS/Awesome-VLA

✨✨latest advancements in VLA models(VIsion Language Action)

This collection provides an overview of the latest research and advancements in Vision-Language-Action (VLA) models. It helps researchers and engineers quickly find information on cutting-edge models, relevant papers, and available datasets related to training robots and embodied AI to understand and act based on visual and linguistic input. The main users are AI researchers, robotics engineers, and deep learning practitioners focused on developing autonomous systems.

Robotics Research Embodied AI Machine Learning Engineering Autonomous Systems Development AI Model Research

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