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iamharshvardhan/README.md

One model at a time.

Pinned Loading

  1. micrograd-from-scratch micrograd-from-scratch Public

    A tiny scalar-valued AutoGrad engine and a neural net library on top of it with PyTorch-like API made from scratch.

    Jupyter Notebook

  2. Bitcoin-Price-Forecasting Bitcoin-Price-Forecasting Public

    This project is an exploration of time series forecasting using cutting-edge deep learning models, including the N-BEATS architecture.

    Jupyter Notebook

  3. config-files config-files Public

    default config files for git, vim and neovim

    Shell

  4. Dog-Vision Dog-Vision Public

    This TensorFlow-based machine learning project leverages transfer learning to classify dog breeds. By fine-tuning pre-trained models, it identifies canine breeds based on the given data.

    Jupyter Notebook

  5. gpt-tokenization gpt-tokenization Public

    Tokenization is the process of breaking down text into smaller units, such as words, subwords, or characters, for analysis.

    Jupyter Notebook

  6. PubMed-RCT-Sentence-Classifier PubMed-RCT-Sentence-Classifier Public

    This project replicates research from two key papers focused on sequential sentence classification in medical abstracts, utilizing the PubMed 200k RCT dataset.

    Jupyter Notebook 1