A MNIST-like fashion product database. Benchmark
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Updated
Jul 22, 2020 - Python
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A MNIST-like fashion product database. Benchmark
A model set of guidelines for RESTful APIs and Events, created by Zalando
Open Source guidance from Zalando, Europe's largest online fashion platform
General purpose metrics adapter for Kubernetes HPA metrics
Kafka consumer lag-checking application for monitoring, written in Scala and Akka HTTP; a wrap around the Kafka consumer group command. Integrations with Cloudwatch and Datadog. Authentication recently added
Opinionated StackSet resource for managing application life cycle and traffic switching in Kubernetes
Github Enterprise backup at ZalandoTech (Kubernetes, AWS, Docker)
Evaluation of fashion-MNIST with a simple cnn
Basic REST project with Flask , Connexion by Zalando , Docker and tox
SpringBoot2 + Spring web flux + reactive cassandra + reactive kafka.
This sample shows you how to integrate Zalando's Problem framework into the Spring Web layer of a Spring Boot application
Variational Auto Encoder on Fashion MNIST
Role for deploying patroni with PostgreSQL12 on CentOS8.
A repository of reusable components.
Neural network which recognize type of closes using ZalandoMnist dataset.
Build of a small CNN to make predictions on Zalando's Fashion-MNIST Dataset.
Error Handling is a library that can be used to generate custom exception
Postgres Operator with Postgres HA cluster Setup based on Patroni from Zalando.
Ansible role for patroni from zalando on CentOS7.
MNIST hand-written digits and Zoolander fashion article images Classification problems
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