Data Revenue

OpenMLOps

tac-example

Example project using Tasks as Containers architecture

alpine-miniconda

Our base image includes pip and conda

code-challenge-2020

Data science technical interview

OpenMLOps-AWS

Deploy MLOps architecture on an EKS cluster using AWS cloud

py-MUVR

Multivariate modelling with minimally biased variable selection

sparsity

Sparse data processing toolbox. It builds on top of pandas and scipy to provide DataFrame like API to work with sparse data.

OpenMLOps-EKS-cluster

A Terraform module for provisioning an EKS cluster with all necessary configuration to deploy MLOps architecture on it.

manpy

ManPy ported to python 3

drfs

alpine-dask-docker

Tiny Dask Docker images based on Alpine Linux

diagrams

Diagrams created by draw.io or other software

docker-dask

dask dockerimage

docker-notebook

Data Revenue deployment of Jupyter Lab with docker

feast

Feature Store for Machine Learning

gcsfs

Pythonic file-system interface for Google Cloud Storage

helm-chart

Helm charts for Dask

helm-charts

luigi

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

luigi-chart

ml_example

Machine Learning Tutorial for the Blog

oauth2-proxy

A reverse proxy that provides authentication with Google, Github or other providers.

prefect

The easiest way to automate your data

project-template

A logical, reasonably standardized, but flexible tasks as containers project structure for doing, sharing and deploying data science work. Based on:

random-task

Docker image for a random task.

scientific

Scientific python stack docker image includes numpy and scipy built against openBLAS

server

The Prefect API and backend

taclib

terraform-aws-eks

A Terraform module to create an Elastic Kubernetes (EKS) cluster and associated worker instances on AWS.

voila

Voilà turns Jupyter notebooks into standalone web applications