OptimizationJob CRD for Hyperparameter Optimization in Kubeflow Katib
Contributor: Aniket Shaha
This project addresses limitations in Kubeflow Katib current Experiment CRD, which uses a generic and loosely typed interface for hyperparameter...
The Machine Learning Toolkit for Kubernetes (AI)
Contributor: Aniket Shaha
This project addresses limitations in Kubeflow Katib current Experiment CRD, which uses a generic and loosely typed interface for hyperparameter...
Contributor: danish9039
KFP and Katib users deploying via Helm currently have no upstream-supported path — charts exist but drift from Kustomize baselines silently, with no...
Contributor: Krishna-kg732
The Kubeflow SDK gives AI practitioners a clean Python interface to submit, monitor, and manage distributed training jobs on Kubernetes via...
Contributor: Rohit Kumar (Kmrrohit)
Kubeflow's documentation, GitHub issues, and platform code are spread across dozens of repositories with no unified search. This project evolves...
Contributor: Sameer_Yadav
The current Kubeflow SparkClient (KEP-107) provides a solid foundation for running interactive Spark workloads on Kubernetes, but it is still missing...
Contributor: siddhant_jainn
Kubeflow's adoption at enterprise scale exposes critical bottlenecks in controller efficiency, security posture, and operational overhead. This...
Contributor: Syed Mohd Maaz
ARM64 is becoming increasingly common with the rise of Apple Silicon and cloud instances like AWS Graviton, but Kubeflow still doesn’t run...
Contributor: Yash_vrd
Kale compiles a single Jupyter notebook into a Kubeflow Pipeline by parsing cell tags, detecting data dependencies with PyFlakes, and generating KFP...
Contributor: Yassin Hashem
Kubeflow Trainer V2 currently supports only TorchTune as its LLM fine-tuning backend. TorchTune stopped adding new features in July 2025, leaving...
Contributor: Akash Jaiswal
This project aims to use self-hosted runners to run GPU-intensive tasks like LLM blueprint or (planned) AI Playground. The necessary infra is...
Contributor: Amrit_Kumar
This project addresses the issue of fragmented tools within the Kubeflow ecosystem, specifically Elyra, Kale, and Jupyter Scheduler, which...
Contributor: Ayush Gupta (Madmecodes)
This project aims to enhance Kubeflow's security posture by implementing Istio CNI by default and providing an optional Ambient Mesh configuration....
Contributor: Fellipe Resende
Jupyter Notebooks provide a powerful, interactive environment widely used by data scientists and ML engineers for exploratory analysis,...
Contributor: Harshit Nayan
The KServe Models Web App is a crucial front-end interface for managing ML models deployed through KServe, a core component of Kubeflow. However, the...
Contributor: Harshvir Potpose
This project aims to enhance Kubeflow’s infrastructure by productionizing the SeaweedFS proof of concept as a secure alternative to MinIO, improving...
Contributor: Kunal Dugar
The proposed project aims to bridge a critical gap in the Kubeflow ecosystem by introducing robust Helm-based deployment support. While Kustomize has...
Contributor: Mahdi Khashan
This project implements key components of KEP-2170, introducing the Kubeflow Training V2 API. Specifically, it focuses on creating the...
Contributor: Santhosh Toorpu
refer notion site for better view :...
Contributor: Xinmin Du
This document outlines a proposal to support Volcano for gang-scheduling in Kubeflow Trainer, so as to provide users with more AI-specific scheduling...
Contributor: Yunkai Li
Kubeflow Pipelines (KFP) currently only supports MySQL/MariaDB databases, creating a significant limitation for many organizations that standardize...
Contributor: Shao Wang
The project aims to provide a Python SDK API interface for users to push metrics to Katib DB directly. The current implementation of Metrics...
Contributor: SIVASUBRAMANIAM L
This proposal aims to automate the generation of comprehensive documentation for Kubeflow Python SDKs, specifically focusing on the Training Operator...
Contributor: Shashank Mittal
The goal of this project is to enhance the Katib Experiment APIs to support various parameter distributions such as uniform, log-uniform, and...
Contributor: Sandipan Panda
The machine learning (ML) community is continually seeking ways to streamline the process of training and deploying models. JAX, with its...
Contributor: Adem Baccara
This proposal aims to introduce a new Kubernetes controller for Kubeflow Notebooks. The implementation of this project will significantly enhance the...
Contributor: Hezhi Xie
This proposal aims to address the challenge of tuning hyperparameters for Large Language Models (LLMs) by developing a user-friendly high-level API....
Contributor: Hansini Karunarathne
The main goal of the project is to find a solution to categorize issues and PRs in the Kubeflow Github repository. There are a lot of issues and PRs...
Contributor: Biswajit Pattnaik
My proposal aims to test and integrate the featues of Istio-CNI and Kubernetes' Pod Security Standards that are require to run Kubeflow rootless as...
Contributor: Kostas Andriopoulos
Many Data Scientists have their data saved in a PersistentVolumeClaim accessed by their Notebooks. So it would be helpful and greatly improve...
Contributor: Yash Jakhotiya
Kubernetes is already an industry-standard in managing cloud resources. Kubeflow is on its path to become an industry standard in managing machine...