An end to end Deep Learning based tool for image caption generation.
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Updated
Apr 30, 2023 - Jupyter Notebook
An end to end Deep Learning based tool for image caption generation.
Creating stylish social media captions for an Image using Multi Modal Models and Reinforcement Learning
Too lazy to organize my desktop, make gpt + BLIP-2 do it
Finetuning Large Visual Models on Visual Question Answering
caption generator using lavis and argostranslate
Caption images across your datasets with state of the art models from Hugging Face and Replicate!
Annotations on a Budget: Leveraging Geo-Data Similarity to Balance Model Performance and Annotation Cost
Modifying LAVIS' BLIP2 Q-former with models pretrained on Japanese datasets.
This repository is for profiling, extracting, visualizing and reusing generative AI weights to hopefully build more accurate AI models and audit/scan weights at rest to identify knowledge domains for risk(s).
Implementation of Qformer from BLIP2 in Zeta Lego blocks.
Official implementation and dataset for the NAACL 2024 paper "ComCLIP: Training-Free Compositional Image and Text Matching"
Automate Fashion Image Captioning using BLIP-2. Automatic generating descriptions of clothes on shopping websites, which can help customers without fashion knowledge to better understand the features (attributes, style, functionality etc.) of the items and increase online sales by enticing more customers.
A true multimodal LLaMA derivative -- on Discord!
Paddle Multimodal Integration and eXploration, supporting mainstream multi-modal tasks, including end-to-end large-scale multi-modal pretrain models and diffusion model toolbox. Equipped with high performance and flexibility.
(AAAI 2024) BLIVA: A Simple Multimodal LLM for Better Handling of Text-rich Visual Questions
[EMNLP 2023 Demo] Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
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