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Aspiring to be inspiring
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Aspiring to be inspiring
27 followers · 22 following
  • IvLabs
  • VNIT, Nagpur

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Achievement: Pull Shark

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Achievement: Pull Shark

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@IvLabs

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Kshitij-Ambilduke/README.md

Hi there 👋, I am Kshitij Ambilduke

I am a Machine learning enthusiast stuck somewhere between Vision, Language and Sound.

I try to make Machine Learning models which sometimes caption images of dogs as cat and speaks of it as a rat.

I am currently pursuing my master's in computer science (Artificial Intelligence track) at Université Paris-Saclay. Previously, I worked as a trainee researcher at the Instituto de Telecomunicações, Lisbon.

  • 😄 I graduated from VNIT, India in 2023, I completed by B.Tech. in Electronics and Communication Engineering from there.
  • 🔭 I’m currently working on Language Modelling and Multimodal Learning.
  • 🌱 I have been studying Deep Learning models and its application to Visual, Lingual and speech domains.
  • 🤝 I’m up for collaborating over Deep Learning, Natural Language Processing, Multimodal Learning projects.
  • 💬 Ping me if you want to know anything about me on [email protected]

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  1. IvLabs/Natural-Language-Processing IvLabs/Natural-Language-Processing Public

    Contains various architectures and novel paper implementations for Natural Language Processing tasks like Sequence Modelling and Neural Machine Translation.

    Jupyter Notebook 49 9

  2. Memes-vs-Notes Memes-vs-Notes Public

    Jupyter Notebook 7

  3. Hierarchical Question-Image Co-Atten... Hierarchical Question-Image Co-Attention for Visual Question Answering.md
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    # Hierarchical Question-Image Co-Attention for Visual Question Answering
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    > Sauce : https://arxiv.org/abs/1606.00061
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    The paper presents a novel Co-Attention mechanism for VQA that jointly reasons about image and question attentions. (SOTA - 2017)
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          Visual-Transformers  Visual-Transformers          Public
        
    
      
    


      
    
        Re-implementation of Visual Transformers: Token-based Image Representation and Processing for Computer Vision for image classification for CIFAR-10 and MNIST datasets
      
    

      
    
          
  
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          MedVQA  MedVQA          Public
        
    
      
    


      
    
        medical visual question answering 
      
    

      
    
          
  
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          VQA  VQA          Public
        
    
      
    


      
    
        
      
    

      
    
          
  
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