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language-generation

Here are 60 public repositories matching this topic...

This project focuses on automatic image caption generation, leveraging advanced deep learning techniques to create descriptive captions for images. The Jupyter Notebook provided in the repository demonstrates the implementation of a neural network model designed to analyze and interpret the content of images.

  • Updated Jul 15, 2024
  • Jupyter Notebook

TasteRank: Personalized Image Search and Recommendation. This research project proposes an AI-based method for scoring photos on relevance to user interests. TasteRank leverages language and vision models, including Mistral LLMs and OpenAI’s CLIP, and applies multimodal machine-learning techniques.

  • Updated May 10, 2024
  • Jupyter Notebook

Blip Image Captioning + GPT-2 Happy Model: Generate joyful responses to image captions using state-of-the-art NLP and computer vision. Pretrained models and data preprocessing included for seamless integration. Explore the intersection of deep learning, sentiment analysis, and language generation

  • Updated Jun 4, 2023
  • Python

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