DanyQuetzal/Azure-ML-Previsao-Vendas-Regressao-Linear

🌡️ Predict ice cream sales using linear regression with Azure ML, optimizing production based on daily temperature for improved stock management.

Language: Python - Size: 1.53 MB - Last synced at: about 3 hours ago - Pushed at: about 5 hours ago - Stars: 0 - Forks: 0

RobinMillford/retail-forecast

This project is a production-grade MLOps pipeline designed to forecast retail sales in near-real-time.

Language: Python - Size: 33.5 MB - Last synced at: about 13 hours ago - Pushed at: about 15 hours ago - Stars: 0 - Forks: 0

gituser2610/MLOPS-Pipeline-Dashboard

MLOPS-Pipeline-Dashboard offers a straightforward way for users to manage machine learning tasks without needing technical skills. With an intuitive interface, this tool simplifies the process from data upload to model deployment, making it accessible for everyone. 🐙💻

Language: JavaScript - Size: 271 KB - Last synced at: about 13 hours ago - Pushed at: about 15 hours ago - Stars: 0 - Forks: 0

statmike/vertex-ai-mlops

Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations

Language: Jupyter Notebook - Size: 2.18 GB - Last synced at: about 17 hours ago - Pushed at: about 19 hours ago - Stars: 643 - Forks: 293

tensorchord/envd

🏕️ Reproducible development environment for humans and agents

Language: Go - Size: 3.61 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 2,159 - Forks: 162

anniemburu/credit_card_fraud_analysis

Language: Python - Size: 34.2 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

mlrun/mlrun

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

Language: Python - Size: 120 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 1,619 - Forks: 286

RobinMillford/Reddit-content-classifier

This repository contains the source code for a complete, end-to-end MLOps project that automatically trains, evaluates, and deploys a machine learning model to classify Reddit content as Safe-For-Work (SFW) or Not-Safe-For-Work (NSFW).

Language: Python - Size: 178 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 1 - Forks: 0

ArlesZhang/DataCody-Agent

The Data Workflow Compiler for Data Engineers

Size: 31.3 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

albertodiazdurana/data-science-portfolio

Senior Data Scientist portfolio: time series forecasting, process mining, customer analytics, and industrial ML. Bridging mechanical engineering and AI with expertise in energy systems optimization, thermo-economics, and production-ready models. Python, XGBoost, MLflow, SHAP.

Size: 12.7 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

gamzeakkurt/CryptoMLOps

End-to-end pipeline for cryptocurrency price forecasting using ARIMA, and GARCH models. Includes data fetching, preprocessing, training, backtesting, drift detection, forecasting, and monitoring with Airflow and MLflow.

Size: 2.93 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

Ricardouchub/Proyecto-mlops-automl-reddit

CI/CD Pipeline de MLOps diseñado para ser completamente autónomo extrayendo datos en vivo desde la API de Reddit, los procesa, entrena un modelo de ML propio con AutoML y despliega los resultados en un dashboard interactivo que se actualiza automáticamente.

Language: Python - Size: 378 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0

TianpeiLuke/cursus

Cursus is an intelligent pipeline generation system that automatically creates complete SageMaker pipelines from user-provided pipeline graphs. Simply define your ML workflow as a graph structure, and Cursus handles all the complex SageMaker implementation details, dependency resolution, and configuration management automatically.

Language: Python - Size: 58.7 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 3 - Forks: 0

offchan42/machine-learning-curriculum

:computer: Learn to make machines learn so that you don't have to struggle to program them; The ultimate list

Size: 833 KB - Last synced at: 5 days ago - Pushed at: over 1 year ago - Stars: 1,106 - Forks: 254

atreyabhat/mlops_taco

MLOps experiment project with lots of learnings.

Language: HTML - Size: 101 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

pradiator/mlops-project

Language: HTML - Size: 9.38 MB - Last synced at: 14 days ago - Pushed at: about 1 year ago - Stars: 154 - Forks: 78

ak-pydev/python_practice

Documenting my learning journey from python -> ML -> DL -> LLM/GenAI -> Agents exercises solved daily from Udemy/Kaggle/YouTube.

Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

mwasifanwar/automl_framework

Comprehensive AutoML framework that automates data preprocessing, feature engineering, model selection, hyperparameter tuning, and deployment. Features neural architecture search and automated data cleaning pipelines.

Language: Python - Size: 34.2 KB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

kanitvural/aws-data-science-data-engineering-mlops-infra

Ultimate AWS Data & AI Platform: Real-time flight delay predictions with complete DE, DS, MLOps, Web App & Multi-Agent LLM - All deployed via CDK self-mutating pipelines

Language: Jupyter Notebook - Size: 352 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 3 - Forks: 0

tpsanjan/GenAI_crash_course

DM to enroll for GenAI crash course!

Language: Python - Size: 20.5 KB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

Azure/mlops-v2

Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

Language: Shell - Size: 18.1 MB - Last synced at: 25 days ago - Pushed at: 2 months ago - Stars: 592 - Forks: 309

sr6awi/ieee_fraud_detection

Production ready machine learning pipeline for IEEE-CIS Fraud Detection with zero data leakage, full preprocessing automation, and artifact tracking.

Language: Jupyter Notebook - Size: 4.47 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 1 - Forks: 0

imEag/MLOps

End-to-end MLOps for training, tracking and serving ML models.

Language: Python - Size: 11.1 MB - Last synced at: 28 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0

Muhammad-Hamza-Khan-03/NexusDrive

Real-Time Delivery ETA Prediction and Delay Risk Analytics

Language: Jupyter Notebook - Size: 9.43 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

bentoml/bentoctl 📦

Fast model deployment on any cloud 🚀

Language: Python - Size: 10.9 MB - Last synced at: 23 days ago - Pushed at: over 1 year ago - Stars: 175 - Forks: 30

KBhardwaj-007/Credit-Card-Fraud-Detection

An end-to-end MLOps project for credit card fraud detection. Features a cost-sensitive hybrid ensemble model, real-time monitoring dashboard with Streamlit, automated PDF fraud reporting, SHAP/LIME explainability, and proactive data drift detection.

Language: Jupyter Notebook - Size: 1.93 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Nneji123/Media-Recommendation-Engine

A Recommendation Engine API that can be used to recommend movies, music, games, manga, anime, comics, tv shows and books. Deployed using an AWS EC2 instance.

Language: Python - Size: 116 MB - Last synced at: 25 days ago - Pushed at: over 2 years ago - Stars: 16 - Forks: 3

KaushalprajapatiKP/MLOps_data_science_pipeline

A modular MLOps pipeline for end-to-end machine learning: automated data validation, feature engineering, multi-model training, MLflow/DagsHub tracking, and FastAPI deployment. Containerized, extensible, and production-ready for real-world projects. Explore code, docs, and notebooks for reproducible ML workflows.

Language: Jupyter Notebook - Size: 3.92 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

aws-solutions-library-samples/guidance-for-machine-learning-inference-on-aws

This Guidance demonstrates how to deploy a machine learning inference architecture on Amazon Elastic Kubernetes Service (Amazon EKS). It addresses the basic implementation requirements as well as ways you can pack thousands of unique PyTorch deep learning (DL) models into a scalable architecture and evaluate performance

Language: Shell - Size: 913 KB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 47 - Forks: 14

Shantnu-singh/FastAPI-Basic-to-Advance

A complete FastAPI learning repository — from basic CRUD operations to advanced ML model deployment with Docker.

Language: Python - Size: 90.8 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

denissimon/distributed-model-training

Approach to implementing distributed training of an ML model: server/device training for iOS and macOS.

Language: Swift - Size: 651 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 9 - Forks: 3

Suraj-kumar00/MLOps-For-DevOps-Engineer

MLOps For DevOps Engineer

Size: 5.86 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

NimbleBoxAI/nbox

The official python package for NimbleBox. Exposes all APIs as CLIs and contains modules to make ML 🌸

Language: Python - Size: 63.7 MB - Last synced at: 25 days ago - Pushed at: about 2 years ago - Stars: 86 - Forks: 13

korkridake/MLOps-GHA-R

MLOps in R 🛠️ I provide fluent tooling to version, deploy, and monitor trained models, following best practices for deploying and maintaining machine learning models in production reliably and efficiently.

Language: R - Size: 33.2 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

aarnphm/whispercpp

Pybind11 bindings for Whisper.cpp

Language: C++ - Size: 2.1 MB - Last synced at: 23 days ago - Pushed at: 12 months ago - Stars: 340 - Forks: 67

JBris/time-series-airflow-kafka-spark

A simple demonstration of an Airflow-Kafka-Spark (AKS) stack for online time series forecasting.

Language: Python - Size: 699 KB - Last synced at: 22 days ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

roissyahf/mlops-loan-approval

MLOps Loan Approval Prediction System

Language: Python - Size: 1.19 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

boomshineking/Azure-ML-Deployment

This project involves building a machine learning model to predict air quality in Jaipur. The solution includes a complete CI/CD pipeline implemented using GitHub Actions for automated workflows and Azure for deployment, enabling seamless and continuous integration and delivery.

Language: HTML - Size: 2.02 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Azure/mlops-templates

Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

Language: Python - Size: 1.33 MB - Last synced at: 25 days ago - Pushed at: 6 months ago - Stars: 137 - Forks: 788

thomas-sutter/ai-aml-mvp2value

From MVP to business value: explainable AML AI ready for real-world deployment.

Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

nsgowebjavaprog/GitHub-Action-With-CICD-Pipeline---MLOps

GitHub Actions is a continuous integration and continuous delivery [CI/CD] platform that allows you to automate your build, test, and deployment pipeline. You can create workflows that build and test every pull request to your repository, or deploy merged pull requests to production.

Language: Python - Size: 15.1 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0

kitops-ml/gh-kit-setup

GitHub action for installing kit CLI

Language: TypeScript - Size: 2.42 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 5 - Forks: 0

jhaayush2004/ChurnCast

Fusion of deep Data Science, Machine Learning and MLOps...

Language: Jupyter Notebook - Size: 5.25 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

theNewFlesh/hidebound

Hidebound is massive, distributed digital asset management system for ML pipelines on Kubernetes

Language: Python - Size: 69.5 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 3 - Forks: 1

Azure/mlops-project-template

Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

Language: Python - Size: 6.08 MB - Last synced at: 25 days ago - Pushed at: almost 2 years ago - Stars: 80 - Forks: 108

arthurcornelio88/dataops_pipeline

⚙️ Data Engineering pipeline for the MLOps workflow. Automates ETL and feature engineering with Airflow on GCP/BigQuery.

Language: HTML - Size: 3.35 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

magnifiques/forest-cover-classification

An end-to-end machine learning project for predicting forest cover types using cartographic variables. This project implements a complete MLOps pipeline with data ingestion, validation, transformation, model training, evaluation, experiment tracking, and deployment.

Language: Jupyter Notebook - Size: 132 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

sanskruti0ise/project-sentinel

An end-to-end AI fraud detection platform using an XGBoost model, LangGraph agent workflow, FastAPI, and a full MLOps CI/CD pipeline with Docker and GitHub Actions.

Language: Python - Size: 39.1 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

syeda434am/Quantization-Aware-Llama-Fine-tuning-and-Ollama-Inference-Pipeline

End-to-end pipeline for quantization-aware fine-tuning of Llama models with Docker, GCP integration, and Ollama API-based inference.

Language: Python - Size: 16.6 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

arthurcornelio88/airflow-weather-ml-pipeline

Complete weather data pipeline with ML model training using Apache Airflow

Language: Python - Size: 607 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

YeonwooSung/ai_book

AI book for everyone

Language: Jupyter Notebook - Size: 631 MB - Last synced at: 6 days ago - Pushed at: 3 months ago - Stars: 32 - Forks: 6

oleksiy-pototskyy/python-for-mlops

Python for MLOps Course

Language: Python - Size: 12.7 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

adilsaid64/distributed-ml-inference-drift-detection

Exploring what a real-time distributed model serving and data drift monitoring solution could look like within MLOps

Language: Python - Size: 2.22 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

the-full-stack/fsdl-text-recognizer-2022

Source of the FSDL 2022 labs, which are at https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022-labs

Language: Jupyter Notebook - Size: 4.03 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 83 - Forks: 32

Himanshu0518/Accent-Recognition

End to End MLOPS project. model trained on self collected data to recognize English accents from audio.

Language: Jupyter Notebook - Size: 173 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

TheScieeentist/CNN_AutoRetrainingPipeline

Auto-retraining-Pipeline for YOLOv11 CNN models

Language: Python - Size: 8.11 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

arthurcornelio88/automatic_fraud_detection

🤖 End-to-end MLOps platform for fraud detection, integrating a Data Engineering pipeline (GCP, Airflow) and the ML model lifecycle (CatBoost).

Size: 1000 Bytes - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

shisian512/mlops

My personal end-to-end MLOps pipeline.

Language: Python - Size: 3.13 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 1

rahimizadeh/Prediction-API-with-Flask-and-MLflow

An end-to-end machine learning project demonstrating model lifecycle management with MLflow and production deployment using Flask.

Language: Python - Size: 27.3 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

AbhaySingh71/MLops-emotion-detection

An end-to-end MLOps pipeline for emotion detection. Features data versioning with DVC + AWS S3, model training and evaluation with MLflow, CI/CD via GitHub Actions, FastAPI serving, Docker containerization, AWS EC2 deployment, and experiment tracking on DagsHub.

Language: Jupyter Notebook - Size: 227 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

ANAS727189/AutoML-MLOps

AutoML-MLOps is a comprehensive platform that simplifies the machine learning workflow by automating model development, training, and deployment. With features like real-time dashboards, interactive data visualization, and automated target selection, it enables both beginners and experienced data scientists to save time and improve model accuracy.

Language: TypeScript - Size: 219 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

tresvitae/house-price-predictor Fork of mlopsbootcamp/house-price-predictor

Sample Machine Learning App for MLOps Learning created by School of Devops

Language: Python - Size: 31.3 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

moreira-and/cleanflow-ml

Modular, polyglot ML project following Domain-Driven Design and Clean Architecture. Business rules live in the domain, use cases in the application layer, and external integrations in infrastructure. Ensures scalability, maintainability, and clear separation of concerns for flexible, testable ML artifacts.

Language: Jupyter Notebook - Size: 45.4 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

Murci20965/medical_image_classifier

End-to-end pneumonia detection system using PyTorch, FastAPI, and Docker. Implements a full MLOps pipeline from training and evaluation to deployment with an interactive Gradio UI.

Language: Python - Size: 266 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

MicrosoftCloudEssentials-LearningHub/GenAIOpsMaturityLevels

This demonstrates how to manage LLMs using Microsoft Azure GenAIOps. For official guidance, support, or more detailed information, please refer to Microsoft's official documentation or contact Microsoft directly.

Language: Python - Size: 161 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

astronomer/astro-provider-ray

This provider contains operators, decorators and triggers to send a ray job from an airflow task

Language: Python - Size: 665 KB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 20 - Forks: 5

amr-yasser226/mlflow-lifecycle-demo

A hands-on MLflow project demonstrating experiment tracking, model training, and lifecycle management using Scikit-learn, XGBoost, and Dagshub integration.

Language: Jupyter Notebook - Size: 28.3 KB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

dislam7991/MLOPS-pipeline-builder

MLOps Pipeline Builder GPT

Size: 4.88 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

abhi227070/CICD-Model-Deployement-AWS

A FastAPI service that predicts restaurant tips using a machine learning model. Deployed on AWS EC2 with Docker and CI/CD via GitHub Actions.

Language: Python - Size: 16.6 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

JBris/clearml-testing

Testing out ClearML.

Language: Python - Size: 269 KB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0

Rajveermathur/MLOps-Assignment-BITS

MLOps Project to deploy a ML Project with CI/CD/CT implemented.

Language: Jupyter Notebook - Size: 8.58 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

angelonazzaro/UDFD Fork of frenkmadda/UDFD

A web app that detects deep fakes with a particular emphasis on software engineering aspects applied to Artificial Intelligence

Language: Python - Size: 5.34 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

sanikasalunke/End-to-End-Basic-ML-Project

A modular ML pipeline built with Python, scikit-learn, and Docker, featuring YAML-based config management, DVC tracking, CI/CD integration via GitHub Actions, and production-ready FastAPI deployment. Designed for reproducibility, scalability, and monitoring readiness (Prometheus/Grafana).

Language: Jupyter Notebook - Size: 1.63 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

lazarzivanovicc/weatherly

Weatherly is an application developed as a part of the Master's course "Automation of Software Development" at the University of Belgrade, Faculty of Organizational Sciences.

Language: Python - Size: 421 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

Jamil226/SP25-AI

Spring 25 - Artificial Intelligence

Language: Jupyter Notebook - Size: 59 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 18 - Forks: 36

McKlay/MLops-Project-Handbook

An ultimate resource for mastering practical, cost-effective AI/ML development

Language: HTML - Size: 1.37 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

zenml-io/zenbytes 📦

A simple guide to MLOps through ZenML and its various integrations.

Language: Jupyter Notebook - Size: 17.7 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 187 - Forks: 34

matdev83/llm-accounting

A Python package for tracking and analyzing LLM usage across different models and applications. It is primarily designed as a library for integration into development process of LLM-based agentic workflow tooling, providing robust tracking capabilities.

Language: Python - Size: 803 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 3 - Forks: 1

yk-jha/CommentSentimation

A chrome Plugin which can extract upto 500 comments of a youtube video and anaylse them with charts

Language: Jupyter Notebook - Size: 18.2 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

galois1915/Google-ML-Engineer

This program provides the skills you need to advance your career and provides training to support your preparation for the industry-recognized Google Cloud Professional Machine Learning Engineer certification.

Language: Jupyter Notebook - Size: 11.4 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 0

RuiFSP/mlops-zoomcamp-2025

MLOps Zoomcamp Course

Language: Jupyter Notebook - Size: 245 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 4 - Forks: 0

AchrafEssaleh/mlops-project-main

MLOps project integrating Airflow, Docker, and MLflow for machine learning workflow automation

Language: Jupyter Notebook - Size: 233 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

simR122/PredictaStay

End-to-End MLOps pipeline for predicting hotel reservations.

Language: Jupyter Notebook - Size: 273 MB - Last synced at: 5 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

Shah-xai/Customer_churn_MLOPS

End-to-end machine learning pipeline for customer churn prediction on imbalanced data. Includes ADASYN oversampling, DVC for version control, and MLflow for experiment tracking and model management.

Language: Jupyter Notebook - Size: 354 KB - Last synced at: 27 days ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

MG-Cafe/MLOps_Workshop

Azure MLOps

Language: Python - Size: 249 KB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 149 - Forks: 383

shubhamprajapati7748/End-to-End-Heart-Disease-Prediction

Explore a modular, end-to-end solution for heart disease prediction in this repository. From problem definition to model evaluation, dive into detailed exploratory data analysis. Experience seamless integration with MLOps tools like DVC, MLflow, and Docker for enhanced workflow and reproducibility.

Language: Jupyter Notebook - Size: 147 KB - Last synced at: 4 months ago - Pushed at: 12 months ago - Stars: 2 - Forks: 0

raquelpanapalen/mlops

Basic MLOps project using Evidently tests, ZenML pipelines and MLflow workflow for model versioning

Language: Python - Size: 1.97 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

MiXaiLL76/sinaraX

TUI for sinaraml cli

Language: Python - Size: 232 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

fahrezabakhtiar/mlops-stock-pso

MLOps: Automated Stock Forecasting using MLOps, CI/CD Pipeline, and Streamlit Dashboard

Language: Python - Size: 171 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

shakil1819/Multi-Agent-Data-Analyst

This Agentic system is designed to handle complex data analysis tasks by breaking them down into smaller subtasks and delegating them to specialized agents. The system uses a multi-agent architecture to improve performance and scalability.

Language: HTML - Size: 1.92 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

EzioDEVio/MLOps

MLOps deploying house estimate model

Language: HTML - Size: 35.2 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 12 - Forks: 0

vortico/mlops-course

Course materials for MLOps, focusing on deploying and managing ML systems in production.

Language: Jupyter Notebook - Size: 6.13 MB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 2 - Forks: 1

ajithvcoder/TSAI-EMLO-4.0

Contains solutoins for assignments and learning notes from Extensive Machine Learning Operations course of The School of AI

Language: Python - Size: 32.7 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 1

brayomumo/smoucha

Smart Multi-agent Orchestrator for Unified Control & Holistic Automation (S.M.O.U.C.H.A)

Language: Python - Size: 70.3 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

DataScientest-Studio/sep24_bmlops_int_reco_films Fork of DataScientest-Studio/Template_MLOps_movie_recommandation

This project was part a of the MLOps bootcamp 🛠👷🏻‍♂️ and demonstrates a comprehensive MLOps implementation for deploying and maintaining a movie recommendation system.

Language: Python - Size: 1.02 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 2

sontungkieu/IT3190E-Collaborative-Filtering

This repository contains a hybrid recommendation system prototype that demonstrates collaborative filtering (Matrix Factorization), content-based filtering (SBERT embeddings), and graph-based recommendation (UltraGCN) combined in a cohesive microservices architecture.

Language: Jupyter Notebook - Size: 91.8 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

dona-eric/Demande-energetique

Données annuelles sur l'électricité Les dernières données annuelles d'Ember sur la production d'électricité, la capacité, les émissions et la demande dans plus de 200 zones géographiques.Electricity domestic consumption Global electricity consumption, spurred by China and India, grew by 2.6% in 2023.

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fadeldnswr/network-security-project

Github repository to store Machine Learning project in Network Phising dataset

Language: Python - Size: 3.03 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Gurupatil0003/Algorithm

Clustering techniques like K-Means, EM Algorithm, and Apriori are widely used in data analysis for various purposes. K-Means is commonly used for customer segmentation, where it groups customers with similar behaviors or characteristics.

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WeOnlyLiveOnce13/MLOps-hotel-reservation-prediction

An end-to-end implementation to predict whether a customer will honor or default his reservation using GCP bucket for storage, mlflow for experiment tracking of multiple models (ranfom forest, xgboost, lightgbm, adaboost, SVM, linearReg, etc), github for code and data versioning, flask for the app UI, Jenkins and docker for the CI/CD pipeline.

Language: Jupyter Notebook - Size: 3.67 MB - Last synced at: 5 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0