An exploration into leveraging SSM's as Bridge/Adapter Layers for VLM
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Updated
Aug 29, 2026 - Python
An exploration into leveraging SSM's as Bridge/Adapter Layers for VLM
Generative AI Models is a comprehensive repository dedicated to the implementation of cutting-edge generative AI models using Python. It features various models, including those for image captioning and text-to-image generation, leveraging advanced architectures like Vision Transformers (ViT), GPT-2, and Stable Diffusion.
Self-supervised Masked Autoencoder (MAE) implementation using Vision Transformers, focused on high-recall inference and threshold-based evaluation with verified results.
Official implementation of "A vision transformer-based approach for brain tumor detection" (CRC Press, 2024). Classifies brain MRI scans using Vision Transformers (ViT) and CNNs.
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