martinxnz123/machine-learning-zoomcamp

🤖 Learn machine learning engineering, from basic concepts to deployment, through a hands-on course designed for practical skills and community support.

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kserve/kserve

Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes

Language: Python - Size: 430 MB - Last synced at: 2 days ago - Pushed at: 6 days ago - Stars: 4,508 - Forks: 1,242

rosa-lpz/machine-learning-zoomcamp

Machine Learning Zoomcamp 2025 from DataTalksClub. Based on repository: https://github.com/DataTalksClub/machine-learning-zoomcamp/tree/master

Language: Jupyter Notebook - Size: 4.77 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

prokube/kubeflow-examples

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

Language: Jupyter Notebook - Size: 3.23 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 3 - Forks: 1

TeiaCare/TeiaCareInferenceClient

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

Language: C++ - Size: 533 KB - Last synced at: 8 days ago - Pushed at: 9 days ago - Stars: 3 - Forks: 0

canonical/kserve-rocks

Rocks for Kserve

Language: Python - Size: 121 KB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 1 - Forks: 3

aws-samples/awsome-fmops

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

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Jeon-Jinhyeok/ms-serving Fork of 2025-PNU-CC-TERM-PROJECT/ms-serving

Cloud-native Microservice-based AI Model Serving Platform

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iQuantC/Kubeflow-KServe

In this video, we’ll walk you through building a powerful machine learning model using Kubeflow and deploying it seamlessly to KServe with InferenceService!

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nathadriele/machine-learning-zoomcamp

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.

Language: Jupyter Notebook - Size: 286 MB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 18 - Forks: 4

trustyai-explainability/trustyai-kserve-explainer

KServe TrustyAI explainer

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Jeon-Jinhyeok/infra Fork of 2025-PNU-CC-TERM-PROJECT/infra

쿠버네티스 설정 파일

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2025-PNU-CC-TERM-PROJECT/ms-serving

Cloud-native Microservice-based AI Model Serving Platform

Size: 189 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 1

vinayak-shanawad/AI-ML-Projects

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

Language: Jupyter Notebook - Size: 87.9 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 33 - Forks: 15

logicalclocks/hopsworks

Hopsworks - Data-Intensive AI platform with a Feature Store

Language: Java - Size: 152 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 1,225 - Forks: 151

slv-ai/SST2-bert-kserve

Fine-tuning a BERT model using PyTorch on the Stanford Sentiment Treebank (SST-2) dataset for binary sentiment classification. Includes model training, evaluation, and REST API deployment setup using FastAPI and Docker, with Kubernetes/KServe deployment.

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akshaymittal143/kserve-demo

This repository demonstrates how to deploy, scale, and monitor machine learning models on Kubernetes using KServe and Kubeflow Lite components.

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treebeardtech/kubeflow-bootstrap

🪐 1-click Kubeflow using ArgoCD

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slv-ai/loan-default-modeling

End-to-end machine learning project to predict loan defaults using financial, credit bureau, and demographic data. Covers preprocessing, feature engineering, handling imbalance, model training (Random Forest & XGBoost), evaluation, and visualization.

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canonical/autoscaling-model-serving

This repository hosts the Autoscaling Model Server bundle

Language: HCL - Size: 121 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Zabtas/fastapi-helm-chart

This repository contains a Helm chart for a FastAPI application to be deployed on OpenShift clusters with minimal effort with customizable configurations.

Language: Smarty - Size: 655 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

ajithvcoder/emlo4-session-17-ajithvcoder

AWS EKS + ArgoCD + Canary deployment + IRSA, Volumes, ISTIO & KServe+ kubernetes + Classifier Deployment The School of AI EMLO-V4 course assignment https://theschoolof.ai/#programs

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ajithvcoder/emlo4-session-17-ajithvcoder-canary-argocd-kserve

Refer https://github.com/ajithvcoder/emlo4-session-17-ajithvcoder for complete deployment guide The School of AI EMLO-V4 course assignment https://theschoolof.ai/#programs

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ajithvcoder/emlo4-session-16-ajithvcoder

AWS EKS + IRSA, Volumes, ISTIO & KServe+ NextJS App + Fastapi Serve + kubernetes + Helm charts + Multimodel or LLM-Deployment The School of AI EMLO-V4 course assignment https://theschoolof.ai/#programs

Language: Python - Size: 6.2 MB - Last synced at: 6 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 1

syedshameersarwar/MLOpsLifeCycle

Language: Python - Size: 1.07 MB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Climatik-Project/Climatik-Project

Carbon Limiting Auto Tuning for Kubernetes

Language: Go - Size: 411 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 16 - Forks: 7

dudeperf3ct/Model-Deployment

Deploying machine learning model using 10+ different deployment tools

Language: Python - Size: 4.07 MB - Last synced at: 5 months ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 3

nandesh553/awesome-kubeflow

Everything to get industrial kubeflow applications running in production

Size: 11.7 KB - Last synced at: 8 days ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 1

JeonDongcheol/StudyRepo

작업 과정에서 공부한 내역들 정리

Language: Python - Size: 6.96 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

aayushsss1/WikiSpeaks

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

Language: Python - Size: 65.7 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

StefanoLusardi/tiny_inference_engine

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

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satyajitghana/kserve-inference-graph

KServe Inference Graph Example

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MemoonaTahira/MLZoomcamp2022

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

Language: Jupyter Notebook - Size: 204 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 20 - Forks: 4

instabaines/rossaman-store-end-to-end-ml-prediction

An end to end machine learning prediction for rossamann store problem

Language: Python - Size: 14.6 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

bakdata/kafka-streams-kserve-demo

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

Language: Java - Size: 61.5 KB - Last synced at: 5 months ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0