Standardized Serverless ML Inference Platform on Kubernetes

Carbon Limiting Auto Tuning for Kubernetes

Hopsworks - Data-Intensive AI platform with a Feature Store

Kubeflow examples - Notebooks, Pipelines, Models, Model tuning and more

Collection of bet practices, reference architectures, examples, and utilities for foundation model development and deployment on AWS.

ROCKs for Kserve

작업 과정에서 공부한 내역들 정리

TeiaCareInferenceClient is a C++ inference client library that implements KServe protocol.

KServe TrustyAI explainer

🪐 1-click Kubeflow using ArgoCD

A scalable RAG-based Wikipedia Chat Assistant that leverages the Llama-2-7b-chat LLM, inferenced using KServe

Everything to get industrial kubeflow applications running in production

AWS SageMaker, SeldonCore, KServe, Kubeflow & MLflow, VectorDB

Hands-on labs on deploying machine learning models with tf-serving and KServe

KServe Inference Graph Example

My repo for the Machine Learning Engineering bootcamp 2022 by DataTalks.Club

An end to end machine learning prediction for rossamann store problem

Client/Server system to perform distributed inference on high load systems.

A demo to accompany our blogpost "Scalable Machine Learning with Kafka Streams and KServe"