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@zalandoresearch

Zalando Research

Repositories of the research branch of Zalando SE

Pinned

  1. fashion-mnist Public

    A MNIST-like fashion product database. Benchmark 👇

    Python 9.9k 2.6k

  2. psgan Public

    Periodic Spatial Generative Adversarial Networks

    Jupyter Notebook 123 33

  3. spatial_gan Public

    Spatial Generative Adversarial Networks

    Python 104 30

  4. pytorch-ts Public

    PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

    Python 625 110

  5. feidegger Public

    A Multi-modal Corpus of Fashion Images and Descriptions in German

    39 11

  6. famos Public

    Adversarial Framework for (non-) Parametric Image Stylisation Mosaics

    Python 114 20

Repositories

  • zalandoresearch.github.io Public

    Zalando Research Website

    HTML 2 1 0 0 Updated Mar 31, 2022
  • fashion-mnist Public

    A MNIST-like fashion product database. Benchmark 👇

    Python 9,907 MIT 2,570 24 0 Updated Mar 21, 2022
  • zap Public

    Multilingual NLP annotation projection

    Java 47 8 1 2 Updated Feb 26, 2022
  • feidegger Public

    A Multi-modal Corpus of Fashion Images and Descriptions in German

    39 MIT 11 1 0 Updated Jan 12, 2022
  • SWARM Public archive

    Set-Equivariant Deep Learning Models

    Python 22 6 0 0 Updated Dec 23, 2021
  • VLRNN Public archive

    Very Long RNN - memory efficient computation of very long sequences in recurrent neural networks

    Python 4 MIT 1 1 0 Updated Dec 23, 2021
  • pytorch-ts Public

    PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

    Python 625 109 30 6 Updated Dec 12, 2021
  • gpa Public
    Python 4 0 0 0 Updated Jul 8, 2021
  • JaxRK Public

    RKHS feature vectors, operators, and statistical models using JAX for automatic differentiation

    Jupyter Notebook 8 MIT 3 12 0 Updated Jun 11, 2021
  • CRISP Public

    A probabilistic graphical model for COVID-19 infection spread through a population based on mutual contacts between pairs of individuals across time as well as test outcomes The C++/Python implementation enables full inference at the scale of millions of contacts between thousands of individuals.

    Jupyter Notebook 12 MIT 11 3 0 Updated Oct 5, 2020
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