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Highlights

  • Arctic Code Vault Contributor

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  1. Supplementary code for the paper «Learning@home: Crowdsourced Training of Large Neural Networks using Decentralized Mixture-of-Experts»

    Jupyter Notebook 11

  2. Decentralized deep learning framework in pytorch. Built to train models on thousands of volunteers across the world.

    Python 263 18

  3. PyTorch Implementation of "Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs"

    Python 1

  4. 2nd place solution for cian.ru Data Fest 2019 competition

    Python 1

1,021 contributions in the last year

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Activity overview
Contributed to learning-at-home/hivemind, learning-at-home/dht, esokolov/ml-course-hse and 5 other repositories
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Contribution activity

September 2020

8 contributions in private repositories Sep 2 – Sep 4

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