retraced
kubeflow
retraced | kubeflow | |
---|---|---|
4 | 3 | |
303 | 13,700 | |
5.3% | 0.8% | |
9.7 | 8.3 | |
3 days ago | 7 days ago | |
TypeScript | TypeScript | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
retraced
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Democratising Enterprise Readiness - #MarchWebSecurity
Setting up Retraced, open-source audit logs, locally.
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🕵️ 6 Top-Secret Open-Source Projects You Didn't Know About 😻
Please star ⭐ Retraced
- Open Source Audit Logs
- Show HN: Open-source – Add Audit Logs to your SaaS app
kubeflow
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Is it possible to store the username in a config file inside the jupyter notebook spawned by kubeflow?
I'm not 100% sure this will work but sounds like PodDefault is what you need.
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Machine Learning Orchestration on Kubernetes using Kubeflow
If you are looking for bringing agility, improved management with enterprise-grade features such as RBAC, multi-tenancy and isolation, security, auditability, collaboration for the machine learning operations in your organization, Kubeflow is an excellent option. It is stable, mature and curated with best-in-class tools and framework which can be deployed in any Kubernetes distribution. See Kubeflow roadmap here to look into what's coming in the next version.
- Jupyter notebooks in kubeflow
What are some alternatives?
lens - Lens - The way the world runs Kubernetes
kserve - Standardized Serverless ML Inference Platform on Kubernetes
jackson - 🔥 Streamline your web application's authentication with Jackson, an SSO service supporting SAML and OpenID Connect protocols. Beyond enterprise-grade Single Sign-On, it also supports Directory Sync via the SCIM 2.0 protocol for automatic user and group provisioning/de-provisioning. 🤩
flyte - Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
Eclipse Che - Kubernetes based Cloud Development Environments for Enterprise Teams
BentoML - The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!
rd - Container Management and Kubernetes on the Desktop
polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
saml20 - SAML 2.0 parser for Node.js
fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:
pipelines - Machine Learning Pipelines for Kubeflow
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.