Pinned Repositories
disentangling_conditional_gans
Disentangling Multiple Conditional Inputs in GANs
famos
Adversarial Framework for (non-) Parametric Image Stylisation Mosaics
fashion-mnist
A MNIST-like fashion product database. Benchmark :point_down:
feidegger
A Multi-modal Corpus of Fashion Images and Descriptions in German
psgan
Periodic Spatial Generative Adversarial Networks
pytorch-dilated-rnn
Dilated RNNs in pytorch
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.
spatial_gan
Spatial Generative Adversarial Networks
zap
Multilingual NLP annotation projection
Zalando Research's Repositories
zalandoresearch/fashion-mnist
A MNIST-like fashion product database. Benchmark :point_down:
zalandoresearch/pytorch-ts
PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
zalandoresearch/pytorch-vq-vae
PyTorch implementation of VQ-VAE by Aäron van den Oord et al.
zalandoresearch/pytorch-dilated-rnn
Dilated RNNs in pytorch
zalandoresearch/psgan
Periodic Spatial Generative Adversarial Networks
zalandoresearch/famos
Adversarial Framework for (non-) Parametric Image Stylisation Mosaics
zalandoresearch/spatial_gan
Spatial Generative Adversarial Networks
zalandoresearch/disentangling_conditional_gans
Disentangling Multiple Conditional Inputs in GANs
zalandoresearch/zap
Multilingual NLP annotation projection
zalandoresearch/feidegger
A Multi-modal Corpus of Fashion Images and Descriptions in German
zalandoresearch/probrnn
State space modeling with recurrent neural networks
zalandoresearch/first_order_gan
Create images and texts with the First Order Generative Adversarial Networks arxiv.org/abs/1802.04591
zalandoresearch/ACIC23-competition
Data for and description of the ACIC 2023 data competition
zalandoresearch/SWARM
Set-Equivariant Deep Learning Models
zalandoresearch/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.
zalandoresearch/fb-model-library
Model of deep learning libraries
zalandoresearch/fashionxrecsys
Workshop on Recommender Systems in Fashion
zalandoresearch/JaxRK
RKHS feature vectors, operators, and statistical models using JAX for automatic differentiation
zalandoresearch/salm
Syntax-aware language models in Pytorch
zalandoresearch/gpa
zalandoresearch/VLRNN
Very Long RNN - memory efficient computation of very long sequences in recurrent neural networks
zalandoresearch/zalandoresearch.github.io
Zalando Research Website
zalandoresearch/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.
zalandoresearch/pairwise-debiasing
ICTIR Paper
zalandoresearch/datacardsplaybook
The Data Cards Playbook helps dataset producers and publishers adopt a people-centered approach to transparency in dataset documentation.
zalandoresearch/fashion-cut
Fashion CUT: Boosting Clothing Pattern Classification with Synthetic Data