Popular GitHub Repositories for Dvc Pipeline

Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases with DVC and CML using Github Actions and IBM Watson. Part of the Engineering Final Project @ Insper

Implementation of USAD (UnSupervised Anomaly Detection on multivariate time series) in PyTorch Lightning

This project contains the production ready Machine Learning(Deep Learning) solution for detecting and classifying the brain tumor in medical images

THIS WEB_APP ALLOWS USER TO PREDICT THE AIR QUALITY INDEX BASED ON FEATURES LIKE TEMPERATURE, WIND VELOCITY, ATMOSPHERIC PRESSURE

AIOps-project-DVC-NLP-usecase

An example project, showcasing a DVC pipeline using SageMaker SDK for data preparation and model training

End-to-end deep learning project to classify the human kidneys as either tumor or normal.

Built a pipeline to manage real-time environmental data using DVC, developed a time-series model (LSTM) with MLflow to predict pollution trends, and deployed the best model as an API using Flask. Implemented live data testing with continuous monitoring using Grafana and Prometheus, enabling real-time performance tracking and system optimization.

This project explains how to automate data and machine learning pipelines using various tools, such as DVC, OmegaConf, Hydra, and MLFlow to achieve that.

This is a test project to learn how to use pytorch (pytorch-lightning) for computer vision and how to include DVC and MLflow in my workflow

This project focuses on sentiment analysis of Flipkart reviews using machine learning operations (MLOps) techniques.

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

The Text Classification using MLOps project delivers a production-ready MLOps pipeline with MLflow for experiment tracking, DVC for data versioning on Amazon S3, and CI/CD automation via GitHub Actions. It features AWS Auto Scaling Groups, Load Balancers, and Launch Templates for scalable and resilient deployments.

Experiment Tracking & Hyperparameter Optimization assignment-07 from The School of AI EMLO-V4 course assignment https://theschoolof.ai/#programs

? A deep learning-based chest cancer classification system using VGG16. ? Classifies chest X-ray images into categories like Adenocarcinoma and Normal with high accuracy. ? Features a dynamic web UI, integrates MLflow for experiment tracking, and manages datasets efficiently with DVC.

This is a Deep Learning Model to detect chest cancer.

Clustering-based ML on the stock dataset using Kmeans, DVC, and MLflow

A comprehensive MLOps structure that includes the use of CI/CD pipelines, DVC, MLflow, Git workflow, and Heroku. This structure covers the complete lifecycle of machine learning operations, from continuous integration and deployment pipelines to version control with DVC, experiment tracking with MLflow, collaborative development with Git workflow,

Building classification Cancer app with DVC for tracking the pipeline automatically

Implementing end to end ml life-cycle