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  • Indian Institute of Technology Madras
  • 21:06 (UTC +05:30)
  • LinkedIn in/sid-betala

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sid-betalol/README.md
  • 👋 Hi, I’m @sid-betalol
  • 👀 I’m interested in Machine and Deep Learning, specifically their applications in biology such as protein engineering tasks.
  • 🌱 I’m currently working with Graph Neural Networks, Diffusion, Generative, and Language Models.
  • 💞️ I’m looking to collaborate on problems in the spaces of AI4Science, NLP, ensuring privacy in datasets and ethics in models.

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  1. GPT2-optimization-task GPT2-optimization-task Public

    Code for Implementation and Optimization of GPT-2

    Python

  2. Document-Classification-Models Document-Classification-Models Public

    Using streaming from HuggingFace to finetune document understanding models for classification

    Jupyter Notebook 1

  3. EE5179-Deep-Learning-for-Imaging-Assignments EE5179-Deep-Learning-for-Imaging-Assignments Public

    Assignments and Tutorials from the EE5179: Deep Learning for Imaging Course at IIT Madras

    Jupyter Notebook

  4. CS5691-Pattern-Recognition-and-Machine-Learning CS5691-Pattern-Recognition-and-Machine-Learning Public

    Assignments from CS5691: Pattern Recognition and Machine Learning (July-November 2022 Semester)

    Jupyter Notebook 1

  5. Generative_Protein_Design_Datasets Generative_Protein_Design_Datasets Public

    Forked from LMSE/Generative_Protein_Design_Datasets

    A repository highlighting and linking existing resources and datasets for generative protein modeling.

  6. answer-similarity-calculator answer-similarity-calculator Public

    CH5019 MFDS Course Project

    Jupyter Notebook 1