dagshub
There are 43 repositories under dagshub topic.
Pythondeveloper6/Awesome-MLOPS
All the available resources to master MLOPS from scratch
tvdboom/ATOM
Automated Tool for Optimized Modelling
DagsHub/open-source-ml-datasets
This repository holds open source datasets for various machine learning domains with a link to download and use them
Abhi0323/BMI-Prediction-with-MLflow-DagsHub
This project applies machine learning models to predict BMI categories based on individual physical attributes, utilizing MLflow for experiment tracking and model management, with integration into DagsHub for collaborative data science workflows. It showcases the power of MLflow in enhancing model lifecycle management and reproducibility.
Hassi34/COVID-19-chest-X-ray-image-classification
This project contains the production-ready Machine Learning solution for detecting and classifying Covid-19, Viral disease, and No disease in posteroanterior and anteroposterior views of chest x-ray
Sengarofficial/Predictive_Maintenance_With_MLops
Aircraft components are susceptible to degradation, which affects directly their reliability and performance. This machine learning project will be directed to provide a framework for predicting the aircraft’s remaining useful life (RUL) based on the entire life cycle data in order to provide the necessary maintenance behavior.
DagsHub/open-source-data-pipeline
A repository that holds machine learning projects that uses DVC for data pipeline orchestration
tushar2704/Wine_Quality
This project aims to predict the quality of wines using various machine learning algorithms. It utilizes the MLflow platform to manage the end-to-end machine learning lifecycle, including data preprocessing, model training, hyperparameter tuning, and deployment on AWS EC2.
ajeetbpr/mlflow-experiments
This is the project to track the experiments using ML Flow and doing collaborative experiment tracking on remote server using DagsHub
DagsHub/open-source-ml-models
This repository holds open-source machine learning models for various domains ready to download and use
govardhanvembadi/CustomerChurn
This project focuses on forecasting customer churn in the telecom industry by leveraging various features. The goal is to implement a straightforward, real-time prediction system capable of handling both batch and online predictions. The predictive model is deployed using Streamlit, providing an interactive and user-friendly interface for exploring
heydido/CategorizeCreditRisk
Mapping the diverse hues of credit risk into risk categories for informed decision-making
heydido/INRCoinSense
A Deep Learning project to detect and classify INR coins
heydido/RuralCreditPredictor
RuralCredit: Empowering Tomorrow's Opportunities
MartinKalema/Kidney-Disease-Classification-MLflow-DVC
End to End Kidney Disease Classification
Omar-Karimov/MediChestAI
This project utilizes cutting-edge MLOps practices, integrating CI/CD pipelines, DVC, and MLflow to streamline development, testing, and deployment for deep learning models on chest CT images.
ssandra102/car_sales_data_science_workflow
End to End Data science workflow for Car Price prediction
subhayudutta/Sentiment-Analysis-of-Flipkart-Reviews
This project focuses on sentiment analysis of Flipkart reviews using machine learning operations (MLOps) techniques.
subhayudutta/SignSpotter
TrafficSignSpotter predicts Indian traffic signs by analyzing images, leveraging advanced machine learning algorithms to ensure accurate recognition and timely detection, enhancing road safety and compliance with traffic regulations.
AmadGakkhar/ChestCancerClassification
Chest Cancer Classification using Chest CT Scan. Using Vgg16 Model.
Germanifold91/DagsHub_Demo
Introduction to DagsHub and its integration to kedro
Isdinval/OC_PROJET8
Réalisez un dashboard et assurez une veille technique
JCOQUE/TFG-ingenieria
Trabajo de Fin de Grado de ingeniería del software
RauhanAhmed/Bank-Marketing
A comprehensive end-to-end Machine Learning project designed to predict bank deposit subscriptions using the well-known "Bank Marketing" dataset with production grade deployment techniques.
arjuuuuunnnnn/CreditCard-Fraud-Detect-MLOps
A MLOps project uses DagsHub & MLFlow
bhuvaneshprasad/End-to-End-SETI-Classification-using-CNN-MLFlow-DVC
An End-to-End Deep Learning project for classifying SETI signals using Convolutional Neural Networks (CNNs), MLFlow and DVC.
divakarkumarp/MLflow-Test
Testing MLflow & Dagshub open-source platform collaboration.
kevalsakhiya/property-scout
This project develops a machine learning model to analyze property data and provide insightful real estate recommendations. It helps users make informed decisions to find the best properties and locations for their needs.
manoharpalanisamy/MLFlow-Basic-Operation
Automating machine learning experiment tracking with MLFlow on AWS and Dagshub.
marcellinus-witarsah/credit-score-mlops
Credit Score: Developed and deployed a credit score model using MLFlow, FastAPI, Docker, and Azure Container App Services. Created a Streamlit web app for user interaction, hosted on Hugging Face Spaces, with CI/CD integration throughout.
MartinKalema/mlflow_test
Getting familiar with mflow
prazjain/python-mlflow-basics
MLFlow example on Dagshub and AWS
shivpalSW/PulmoDetect-Image-Analysis
PulmoDetect Image Analysis
skp-1997/Image-Captioning-with-MLFLOW
This repository trains image captioning model using CNN and Transformers.
skp-1997/MLFlow-Dagshub-Tutorial
The Jupyter Notebook explains basic features of MLFlow experiment tracking using Dagshub