12 projects
stock-analysis-engine
Backtest 1000s of minute-by-minute trading algorithms. Automated pricing data ingestion from: IEX Cloud (https://iexcloud.io), Tradier (https://tradier.com) and FinViz. Datasets and trading performance automatically compressed and published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes with Helm and docker-compose. >150 million trading history rows generated from +5000 algorithms
network-pipeline
Distributed Network Packet Analysis Pipeline for Layer 2, 3 and 4 Frames
antinex-utils
AntiNex Utilities for Keras and Tensorflow
antinex-client
AntiNex Python client
spylunking
Spylunking - Drill down into your logs with an integrated, colorized logger with search tools. Includes a Splunk sandbox running in docker.
metalnetes
Tools for managing multiple Kubernetes clusters on KVM (on 3 Centos 7 VMs) running on a bare metal Fedora 29 server (Ubuntu 18.04 was tested until Kubernetes v1.14)
deploy-to-kubernetes
Deployment tooling for managing a distributed AI stack on Kubernetes. Projects using this tool: AntiNex (https://antinex.readthedocs.io/en/latest/) and the Stock Analysis Engine (https://stock-analysis-engine.readthedocs.io/en/latest/) and works on Kubernetes 1.13.3
antinex-core
AntiNex publisher-subscriber core for processing training and prediction requests for deep neural networks to detect network exploits using Keras and Tensorflow in near real-time.
owasp-jenkins
Automate your OWASP analysis within a Jenkins docker container that is preconfigured to use Ansible to scan and report on potential python security issues before they are deployed to production.
celery-connectors
Celery Connectors
celery-loaders
Celery Application and Task Loader Examples
redten
Red10 distributed machine learning python client
