Data Science

Про прикладные и теоретические аспекты работы с данными
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    Sep 3, 18
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    Training your own MNASNET

    Or how we failed

    Speeding up word distance calculation 100x

    My plain approach to faster and more practical cosine distance calculation

    Solving class imbalance on Google open images

    Or potentially building a model cascade to alleviate severe class imbalance

    Playing with Crowd-AI mapping challenge - or how to improve your CNN performance with self-supervised techniques

    A small case for searching for internal structure within the data, weighting and training your CNNs properly

    Playing with Variational Auto Encoders - PCA vs. UMAP vs. VAE on FMNIST / MNIST

    TLDR - they are very cool - but useful only on very simple domains and datasets

    Playing with adversarial attacks on Machines Can See 2018 competition

    Or how I ended up in a team that won in the Machines Can See 2018 adversarial competition

    Playing with genetic markers, clustering and visualization. Part 2: I was dumb

    Gosh, I made a stupid mistake

    My portfolio / CV

    Just an up to date list of my accomplishments / competitions / credentials in a human readable form with hyperlinks

    Playing with genetic markers, clustering and visualization

    Mesmerizing structures found in data

    Exploring the limits of unsupervised Machine Learning in Computer Vision

    Or continuation of flat saga (there is no free lunch indeed)