Zalando Research

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_down:

pytorch-ts

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

pytorch-vq-vae

PyTorch implementation of VQ-VAE by Aäron van den Oord et al.

pytorch-dilated-rnn

Dilated RNNs in pytorch

psgan

Periodic Spatial Generative Adversarial Networks

famos

Adversarial Framework for (non-) Parametric Image Stylisation Mosaics

spatial_gan

Spatial Generative Adversarial Networks

disentangling_conditional_gans

Disentangling Multiple Conditional Inputs in GANs

zap

Multilingual NLP annotation projection

feidegger

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

probrnn

State space modeling with recurrent neural networks

first_order_gan

Create images and texts with the First Order Generative Adversarial Networks arxiv.org/abs/1802.04591

ACIC23-competition

Data for and description of the ACIC 2023 data competition

SWARM

Set-Equivariant Deep Learning Models

CRISP

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.

fb-model-library

Model of deep learning libraries

fashionxrecsys

Workshop on Recommender Systems in Fashion

JaxRK

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

salm

Syntax-aware language models in Pytorch

gpa

VLRNN

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

zalandoresearch.github.io

Zalando Research Website

batching-benchmarks

This project contains accompanying code for Zalando Team BART's (Batching Algorithms) publication Joint Order Selection, Allocation, Batching and Picking for Large Scale Warehouses.

pairwise-debiasing

ICTIR Paper

datacardsplaybook

The Data Cards Playbook helps dataset producers and publishers adopt a people-centered approach to transparency in dataset documentation.

fashion-cut

Fashion CUT: Boosting Clothing Pattern Classification with Synthetic Data