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Somesh Fengade
  • ME
    • 👋About
    • 📚Personal Projects
      • 🌄AI meditations
      • 🤖GPT-Compare
      • 🌙Learning to see in the dark
      • 💸Lending Club analysis
      • ⏬Moodle Downloader
      • 📚Analyzing the complexity of literary passages.
      • 🧪Unit test analysis
      • 🍕Food Vision
      • 📜Skim Lit project
      • 🚋Driver's attention detection
      • ⏳React Countdown Timer app
  • Achievements
    • 🎓Achievements directory
      • 🐣Kaggle Expert (notebook)
      • ❗Amazon Machine learning competition (top 100)
      • 🐶PetFinder.my - Pawpularity Contest ( top 20%)
      • 🐳Happywhale - Whale and Dolphin Identification (top 20%)
      • 🖊️NBME - Score Clinical Patient Notes ( top 50%)
      • 🕸️Tensorflow Barrier Riff challenge(top 42%)
  • Notes and courses
    • 🍂Foundations of LLMs Lesson 1
    • GPT from scratch
    • Introduction to CUDA Python with Numba
      • Custom CUDA kernels in python with Numba
      • Multidimensional grids and shared memory for cuda python with Numba
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  • EDA notebook:
  • Submission inference:
  • Competition link
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NBME - Score Clinical Patient Notes ( top 50%)

Identify Key Phrases in Patient Notes from Medical Licensing Exams

PreviousHappywhale - Whale and Dolphin Identification (top 20%)NextTensorflow Barrier Riff challenge(top 42%)

Last updated 1 year ago

EDA notebook:

Submission inference:

Tech stack:

  • Pytorch

  • Pytorch-lightning

  • Plotly

  • plotly_express

Competition link

🎓
🖊️
⚡nbme_clinical patients EDA⚡
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https://www.kaggle.com/code/somesh88/pytorch-lightning-submission-nbmewww.kaggle.com
NBME - Score Clinical Patient Notes
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