Highlights
- Pro
Stars
A machine learning compiler for GPUs, CPUs, and ML accelerators
Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.
A platform for managing machine learning experiments
Malloy is a modern open source language for describing data relationships and transformations.
PDFM Embeddings: location-based vectors for geo-spatial analysis.
A toolkit to run Ray applications on Kubernetes
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
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Build Container Images In Kubernetes
Amazon EKS Distro (EKS-D) is a Kubernetes distribution based on and used by Amazon Elastic Kubernetes Service (EKS) to create reliable and secure Kubernetes clusters.
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…
Kubetools - Curated List of Kubernetes Tools
Karpenter is a Kubernetes Node Autoscaler built for flexibility, performance, and simplicity.
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.
AWS Controllers for Kubernetes (ACK) is a project enabling you to manage AWS services from Kubernetes
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scikit-learn: machine learning in Python
Packer configuration for building a custom EKS AMI
Distributed reliable key-value store for the most critical data of a distributed system
A Kubernetes controller for Elastic Load Balancers