Repositories (7)
A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.
Deploy a distributed AI stack to a multi-host or single-host Kubernetes cluster on CentOS 7 and also works on AWS - and comes with: cert-manager + redis-cluster + rook-ceph for persistent storage + minio s3 object store + splunk + optional external dns server + affinity examples - validated with K8 version 1.13.4 :hammer: :wrench: :cloud:
Train AI (Keras + Tensorflow) to defend apps with Django REST Framework + Celery + Swagger + JWT - deploys to Kubernetes and OpenShift Container Platform
Want to test your applications using the latest OWASP security toolchains and the NIST National Vulnerability Database using Jenkins, Ansible and docker? :whale: :shield: :lock:
Want to handle 100,000 messages in 90 seconds? Celery and Kombu are that awesome - Multiple publisher-subscriber demos for processing json or pickled messages from Redis, RabbitMQ or AWS SQS. Includes Kombu message processors using native Producer and Consumer classes as well as ConsumerProducerMixin workers for relay publish-hook or caching
Network traffic data pipeline for real-time predictions and building datasets for deep neural networks
Create and manage multiple Kubernetes clusters using KVM on a bare metal Fedora 29 server. Includes helm + rook-ceph + nginx ingress + the stock analysis engine (jupyter + redis cluster + minio + automated cron jobs for data collection) - works on Kubernetes version v1.16.0 - 1.16.3 was not working