Vqa Python Packages

maestro

streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL

setofmark

streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL

tinydoc

256M-param document VLM: SigLIP + SmolLM2. LoRA fine-tuning, ONNX export, runs on CPU. Apache 2.0.

multimodal-maestro

streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL

easy-vqa

The Easy Visual Question Answering dataset.

clipcap

Using pretrained encoder and language models to generate captions from multimedia inputs.

aoa-pytorch

A Pytorch implementation of Attention on Attention module (both self and guided variants), for Visual Question Answering