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  1. A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects

    Jupyter Notebook 245 55

  2. Fine-tuned pre-trained GPT2 for custom topic specific text generation. Such system can be used for Text Augmentation.

    Python 141 34

  3. The projects lets you extract glossary words and their definitions from a given piece of text automatically using NLP techniques

    Jupyter Notebook 28 4

  4. Using BERT for doing the task of Conditional Natural Language Generation by fine-tuning pre-trained BERT on custom dataset.

    Jupyter Notebook 30 14

  5. Demo of the T5 model for various pre-trained task.

    Jupyter Notebook 27 6

  6. Embedding Visualizer (EmbedViz) data app made with Streamlit library

    Python 13 4

150 contributions in the last year

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July 2022

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