liavweiss/praxis-demos
Archive of demos and setups for demos with Praxis
Software Developer at Red Hat Israel
Repositories
liavweiss/praxis-operator
Praxis Kubernetes Operator
liavweiss/praxis-policy
Praxis Policy Engine (PPE)
liavweiss/praxis-grid
AI Grid Network
liavweiss/praxis-ai
AI features and capabilities for Praxis
liavweiss/praxis
AI and cloud-native proxy server and framework
liavweiss/praxis-enhancements
Enhancement proposals for Praxis
liavweiss/praxis-pingora
A library for building fast, reliable network services.
liavweiss/ai-gateway-payload-processing
liavweiss/llm-d-router
llm-d Router: The intelligent entry point for inference requests
liavweiss/models-as-a-service
Model as a Service
liavweiss/llm-d-inference-payload-processor
Inference payload processor for llm-d
liavweiss/RoboMaster-S1
Final project in autonomous robots course
liavweiss/semantic-router
Intelligent Router for Mixture-of-Models
liavweiss/gateway-api-inference-extension
Gateway API Inference Extension
liavweiss/trustyai-guardrails-operator
A unified platform for deploying and managing various AI guardrail servers
liavweiss/nemo-guardrails
How to use NeMo guardrails in a kubernetes
liavweiss/vllm-project.github.io
liavweiss/notebooks
Kubeflow Notebooks lets you run web-based development environments on your Kubernetes cluster by running them inside Pods.
liavweiss/kubeflow
Machine Learning Toolkit for Kubernetes
liavweiss/dashboard
Kubeflow Central Dashboard is the web interface for Kubeflow
liavweiss/internal-acls
Repository used to main group ACLs used by Kubeflow developers
liavweiss/aqa-test-tools
Home of Test Results Summary Service (TRSS) and PerfNext. These tools are designed to improve our ability to monitor and triage tests at the Adoptium project. The code is generic enough that it is extensible for use by any project that needs to monitor multiple CI servers and aggregate their results.
liavweiss/liavweiss
liavweiss/aqa-tests
Home of test infrastructure for Adoptium builds
liavweiss/scorecard
liavweiss/pipelines
Machine Learning Pipelines for Kubeflow