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@vlgiitr

Vision & Language Group, IIT Roorkee

This is the official GitHub handle of the Vision & Language Group, IIT Roorkee.

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  1. DL_Topics Public

    List of DL topics and resources essential for cracking interviews

    446 59

  2. papers_we_read Public

    Summaries for exciting works in the field of Deep Learning.

    346 66

  3. deep_cache_replacement Public

    The PyTorch codebase for -> DEAP Cache: Deep Eviction Admission and Prefetching for Cache.

    Python 15 11

  4. Sensorium-2022 Public

    SENSORIUM+ 2022

    Jupyter Notebook 6 1

  5. Group-Level-Emotion-Recognition Public

    Model submitted for the ICMI 2018 EmotiW Group-Level Emotion Recognition Challenge

    Jupyter Notebook 79 26

  6. dmn-plus Public

    A Pytorch tutorial for implementation of Dynamic memory Network Plus

    Jupyter Notebook 64 17

Repositories

Showing 10 of 30 repositories
  • ttt-icl-math Public
    Jupyter Notebook 0 1 0 0 Updated Feb 20, 2025
  • papers_we_read Public

    Summaries for exciting works in the field of Deep Learning.

    346 MIT 66 0 9 Updated Dec 17, 2024
  • LLM-Math Public

    Exploring LLM behavior against mathematical prompts

    Python 7 0 0 0 Updated Nov 10, 2024
  • Attention-Shift Public
    Python 1 MIT 0 0 0 Updated Nov 6, 2024
  • Positional-Encoding-in-Vision-Transformers Public
    Python 0 MIT 0 0 0 Updated Oct 31, 2024
  • vlgiitr.github.io Public

    Main site for Vision and Language Group

    HTML 4 4 0 0 Updated Oct 22, 2024
  • academic-kickstart Public Forked from HugoBlox/theme-academic-cv

    📝 Easily create a beautiful website using Academic, Hugo, and Netlify

    TeX 0 MIT 6,419 0 0 Updated Oct 22, 2024
  • LoRA-Unlearn Public
    Python 1 MIT 1 0 0 Updated Oct 5, 2024
  • Are-VLMs-Really-Blind Public
    Python 4 MIT 0 0 0 Updated Sep 24, 2024
  • StegaVision Public

    Developed a deep learning-based image steganography model using an autoencoder with integrated channel and spatial attention. Experimented with five configurations, finding that a parallel combination of both attention mechanisms provided the best balance between image quality and embedding accuracy.

    Python 4 MIT 2 0 0 Updated Sep 19, 2024
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