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Achievement: YOLOAchievement: Pull Shark

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satvikk/README.md

Hi there 🖖

I am Satvik Kishore. Weclome to my Github

Check out my:

🔭 I’m currently working on:

  • Improving Computer Vision models used in Radiology by making them more Interpretable (Duke Interpretable AI Lab)
  • Reducing Prediction Churn in Machine Learning Models. Prediction Churn can be thought of as the model inconsistencies that creep up when you re-train a model on new data.

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  1. StarTrek_StatsFinalProject StarTrek_StatsFinalProject Public

    A statistical analysis of Star Trek: The Next Generation, Deep Space 9, Voyager, and Enterprise

    R

  2. dai-anna/Duke-NLP-FinalProject dai-anna/Duke-NLP-FinalProject Public

    Benchmarking topic classification performance of an LDA model as well as a discriminative Neural Network using data collected on seven Twitter topics (hashtags).

    Jupyter Notebook 1

  3. unsupervisedlearner1123/Duke-Datathon-2021 unsupervisedlearner1123/Duke-Datathon-2021 Public

    This is the repo for Duke's Annual Datathon, 2021.

    Scheme

  4. AWSCloud-TweetGenerator AWSCloud-TweetGenerator Public

    Forked from dai-anna/AWSCloud-TweetGenerator

    AWS cloud native Tweet generator leveraging NLP text generation models to generate Tweets based off trending hashtags.

    Python

  5. deepLesion_CT_analysis deepLesion_CT_analysis Public

    Forked from 23abhijith/deepLesion_CT_analysis

    Analysis of Deep Lesion CT dataset to identify potential improvements to CT scans for lesion identification

    Jupyter Notebook

  6. IDS705_Team10 IDS705_Team10 Public

    Forked from FR-Schwartz/IDS705_Team10

    Jupyter Notebook