youngjae-cho/APP
Official PyTorch implementation for Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior [AAAI 2024]
This project helps machine learning engineers and researchers fine-tune vision-language models more effectively. It takes an existing dataset of images and associated text descriptions, along with a specified number of prompts, and outputs an improved model capable of more accurate image classification or understanding. It's designed for those working on tasks like zero-shot learning or transfer learning in computer vision.
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Use this if you are a machine learning practitioner looking to enhance the performance of vision-language models for new or specific datasets without extensive re-training.
Not ideal if you are a business user without a background in machine learning and PyTorch, as it requires setting up datasets and running scripts.
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1
Language
Python
License
Apache-2.0
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Last pushed
Apr 30, 2024
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