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Shreyas Daniel Gaddam shreydan

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  1. semantically search Bible verses using NLP: https://bible-verse-search.streamlitapp.com/

    Python 8 3

  2. building various transformer model architectures and its modules from scratch.

    Jupyter Notebook 13 2

  3. Combining ViT and GPT-2 for image captioning. Trained on MS-COCO. The model was implemented mostly from scratch.

    Jupyter Notebook 49 3

  4. building a simple VLM. Implementing LlaMA-SmolLM2 from scratch + SigLip2 Vision Model. KV-Caching is supported and implemented from scratch as well

    Jupyter Notebook 7

  5. a lighter implementation of OpenAI CLIP in PyTorch.

    Jupyter Notebook 5 1

  6. Training a transformer for multilingual translation from scratch. Translates English to Hindi or Telugu. Trained on the Opus100 dataset for learning purposes.

    Jupyter Notebook 3