Dimitri Saridakis's repositories
codeflare-operator
Operator for installation and lifecycle management of CodeFlare distributed workload stack, starting with MCAD and InstaScale
codeflare-sdk
An intuitive, easy-to-use python interface for batch resource requesting, access, job submission, and observation. Simplifying the developer's life while enabling access to high-performance compute resources, either in the cloud or on-prem.
instascale
On-demand Kubernetes/OpenShift cluster scaling and aggregated resource provisioning
kuberay
A toolkit to run Ray applications on Kubernetes
kueue
Kubernetes-native Job Queueing
multi-cluster-app-dispatcher
Holistic job manager on Kubernetes
autogen
Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ
cleanlab
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
community-operators
The canonical source for Kubernetes Operators that are published on OperatorHub.io and part of the default catalog of the Operator Lifecycle Manager.
community-operators-prod
community-operators metadata backing OpenShift OperatorHub
fms-hf-tuning
Tuning scripts using Hugging Face `SFTTrainer`
odh-deployer
The odh-deployer image creates a custom resource for the image in operator image in odh-operator-allinone
odh-notebooks
Notebook images for ODH
odh-org-management
GitHub Organization management via Peribolos
opendatahub-operator
Open Data Hub operator implementation, based on Kubeflow Operator
ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
rhoai-adr
Home for CodeFlare Architecture Design Records (ADR)
rhods-disconnected-install-helper
rhods-disconnected-install-helper
training-operator
Training operators on Kubernetes.