Tooling

The tooling section of KML.rocks is a collection of tools for doing machine learning on Kubernetes.

Kubeflow

Kubeflow is a Machine Learning Toolkit for Kubernetes, open sourced by Google in December 2017.

Getting started:

• Introducing Kubeflow - A Composable, Portable, Scalable ML Stack Built for Kubernetes
• Try out Kubeflow online for free (via Katacoda).

RADanalytics

The radanalytics.io project provides tooling with a focus on Apache Spark and Apache Kafka as well as tutorials covering examples from Tensorflow to Jupyter notebooks.

Machine Box

Machine Box is a collection of state of the art machine learning technologies inside a container. Currently the following boxes are available:

• facebox: detects and identifies faces in photos.
• textbox: natural language processing, with entity and keyword extraction, and sentiment analysis.
• tagbox: generate a list of descriptive tags for an image.
• nudebaox: detect images that contain nudity or adult content.

PaddlePaddle

PaddlePaddle is a Python-based deep learning platform provided by Baidu that can be run on Kubernetes.

Miscellaneous

• PipelineAI/pipeline—a standard runtime for real-time machine learning fully compatible with AWS SageMaker.
• SeldonIO/seldon-server—a machine learning platform, supports models built with TensorFlow, Keras, Vowpal Wabbit, XGBoost, Gensim.
• Open Neural Network Exchange to share/convert models between different tools.
• Langhalsdino/Kubernetes-GPU-Guide—a guide that explains how to automate and accelerate deep leaning training with Kubernetes; see noboevbo/machine-learning-kubernetes for a concrete example following this setup.