Distributed ML Training and Fine-Tuning on Kubernetes
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Updated
May 10, 2024 - Go
Distributed ML Training and Fine-Tuning on Kubernetes
Automated Machine Learning on Kubernetes
Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)
Kubernetes Guide. Learn all about Kubernetes monitoring, networking, and containers. Whether you're running Kubernetes Locally or in the Cloud ( Azure, AWS, and GCP).
Transform your pythonic research to an artifact that engineers can deploy easily.
A lightweight tool to get an AI Infrastructure Stack up in minutes not days. K3ai will take care of setup K8s for You, deploy the AI tool of your choice and even run your code on it.
Kernel for Kubeflow in Jupyter Notebook
GPU scheduler for elastic/distributed deep learning workloads in Kubernetes cluster
K3ai-core is the core library for the GO installer. Go installer will replace the current bash installer
Validation Generation for Kubeflow CRD on Kubernetes
Terraform provider for Kubeflow pipelines API
Repository to hold GSoC 2020 code with Kubeflow
Profiles controller for the fine grained control of Kubeflow
kubernetes CRD controller to manage theias (vscode alternative) - imagine jupyterhub.
A CLI to deploy and run ML workflows using Kubeflow. Strictly WIP - Not suitable for use as of now.
Synchronize profile editors into the Open Policy Agent for use in MinIO Access Control / Synchronisation de données des éditeurs de profiles stockés dans Open Policy Agent, ceux-ci utilisés pour la contrôle d'accès à MinIO
Inferenceservices controller for the fine grained control of KServe
Kubeflow controller which sets PodDefaults + Vault policies for each Profile detected
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