christorm's repositories
ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
odh-manifests
A repository for Open Data Hub Kustomize manifests extending upstream Kubeflow manifests
works-with-determined
This repository contains example integrations between Determined and other ML products
kubeflow-examples
A repository to host extended examples and tutorials
intro-to-ml-with-kubeflow-examples
[WIP] Examples for the Intro to ML with Kubeflow book
paroleitaliane
Liste di parole italiane
example-seldon
Example for end-to-end machine learning on Kubernetes using Kubeflow and Seldon Core
spire-envoy-kafka
Demo of Kafka integrated with Envoy proxy sidecars and SPIRE on K8s
spire-federation
Demo of SPIRE federation of two trust domains in two different K8s clusters
arduino-py
Arduino experiments using pyfirmata library
keras-cats-dogs-tutorial
A practical example of image classifier with Keras 2.x and TensorFlow backend, using the Kaggle Cats vs. Dogs dataset. By taking advantage of Keras' image data augmentation capabilities (and also random cropping), we were able to achieve 99% accuracy on the trained model with only 2,000 images in the training set.