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55 followers · 135 following

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Achievement: YOLOAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: StarstruckAchievement: Arctic Code Vault Contributor
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Achievements

Achievement: YOLOAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: StarstruckAchievement: Arctic Code Vault Contributor
BetaSend feedback

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Atharva-Phatak/README.md

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I am Atharva 😁

  • ⭐ Machine Learning Engineer @ Odaia
  • 📚 Master's student(CS) Lakehead University
  • 🎉 I have created TorchFlare : Easy Model Training and Experimentation, a simple, beginner-friendly, and easy-to-use PyTorch Framework to train your models effortlessly.
  • 🌱 I enjoy building full scale end to end ML systems leveraging best MLOps practices.
  • I am core contributor Pytorch Lightning-bolts
  • 💙 I love to contribute to Open source libraries like Pytorch-Lightning, Lightly and many more !
  • I am Kaggle Competitions Expert.
  • ⚡ Fun fact: I like rock music and astrophysics and in my spare time I am learning String Theory.
  • Check out my portfolio Website : https://atharva-phatak.netlify.app/

Connect with me:

atharva-phatak atharvap329

Languages and Tools:

python pytorch scikit_learn bash docker git html5 hugo linux mysql tailwindcss ReactJS Huggingface

Atharva's GitHub stats

Pinned

  1. torchflare torchflare Public

    TorchFlare is a simple, beginner-friendly, and easy-to-use PyTorch Framework train your models effortlessly.

    Python 85 7

  2. shopme shopme Public

    ShopME: An E2E fashion recommendation System

    Python 19 1

  3. AnimeME AnimeME Public

    Apply anime style to your images

    Python

  4. Analysing-Glassdoor-Jobs Analysing-Glassdoor-Jobs Public

    Data Analysis of Job Postings on Glassdoor.

    Jupyter Notebook 41 11

  5. Supplements-Price-Predictor Supplements-Price-Predictor Public

    This project aims to understand the factors that cause supplements to be costly and uses machine learning to predict the prices.

    Jupyter Notebook 2 1

  6. Manga-Colorizer Manga-Colorizer Public

    Use Pix2Pix to learn to colorize the manga.

    Python 7 2