Standardized Serverless ML Inference Platform on Kubernetes

Hopsworks - Data-Intensive AI platform with a Feature Store

🪐 1-click Kubeflow using ArgoCD

Carbon Limiting Auto Tuning for Kubernetes

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

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

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

The Machine Learning Zoomcamp teaches foundational and advanced ML concepts using tools like NumPy, Pandas, Scikit-Learn, TensorFlow, XGBoost, Flask, Docker, AWS, Kubernetes, and KServe. It covers regression, classification, evaluation metrics, neural networks, deployment strategies, and end-to-end projects to bridge theory and practice.

Deploying machine learning model using 10+ different deployment tools

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

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

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

Everything to get industrial kubeflow applications running in production

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

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

KServe TrustyAI explainer

작업 과정에서 공부한 내역들 정리

KServe Inference Graph Example

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

This repository hosts the Autoscaling Model Server bundle