ML and CV competitions


Participation in the CV / ML competitions
    1 / 16
    Sep 3, 18
    Sep 3, 18
    Oct 29, 17

    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

    Exploring the limits of unsupervised Machine Learning in Computer Vision

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

    Applying Deep Watershed Transform to Kaggle Data Science Bowl 2018 (dockerized solution)

    And why this competition was a lottery

    Playing with electricity - forecasting 5000 time series

    Applying random forests and deep encoder-decoder RNNs to time series prediction

    How we participated in SpaceNet three Road Detector challenge

    And how we got into top 10 =)