Meghna Baijal's repositories
kubeflow-manifests
AWS integration with KubeFlow.
sagemaker-controller
ACK service controller for Amazon SageMaker
amazon-eks-user-guide
The open source version of the Amazon EKS user guide. You can submit feedback & requests for changes by submitting issues in this repo or by making proposed changes & submitting a pull request.
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
amazon-sagemaker-operator-for-k8s
Amazon SageMaker operator for Kubernetes
code-generator
Code generator for AWS Controllers for Kubernetes
runtime
Common ACK runtime and type system
applicationautoscaling-controller
ACK service controller for Amazon Application AutoScaling
aws-controllers-k8s
AWS Controllers for Kubernetes (ACK) is a project enabling you to manage AWS services from Kubernetes
code
Example application code for the python architecture book
deep-learning-benchmark-mirror
This is mirror of deep-learning-benchmark
incubator-mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
kuberay
A toolkit to run Ray applications on Kubernetes
mpi-operator
Kubernetes Operator for Allreduce-style Distributed Training
mxnet-infra
A collection of tools and automation scripts
pipelines
Machine Learning Pipelines for Kubeflow
ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
spark
Mirror of Apache Spark
test-infra
Testing framework for AWS Controllers for Kubernetes (ACK)
website
Kubeflow's public website