Popular GitHub Repositories for Dvc

? MLOps end-to-end guide and tutorial website, using IBM Watson, DVC, CML, Terraform, Github Actions and more.

A list of projects relying on Iterative.AI tools to achieve awesomeness

[CVPR 2024] Do you remember? Dense Video Captioning with Cross-Modal Memory Retrieval

This repository contains instructions, template source code and examples on how to serve/deploy machine learning models using various frameworks and applications such as Docker, Flask, FastAPI, BentoML, Streamlit, MLflow and even code on how to deploy your machine learning model as an android app.

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

TradeAI: Empowering Algorithmic Trading with Deep Learning for Cryptocurrency Data. Explore the potential of deep learning in cryptocurrency trading through our full-stack algorithmic trading system, fueled by state-of-the-art transformer models

Use Large Language Models like OpenAI's GPT-3.5 for data annotation and model enhancement. This framework combines human expertise with LLMs, employs Iterative Active Learning for continuous improvement, and integrates CleanLab (Confident Learning) to ensure high-quality datasets and better model performance

Awesome MLOps Course Outline

A simple yet complete guide to MLOps tools and practices - from a conventional way to a modern approach of working with ML projects.

A use case of a reproducible machine learning pipeline using Dask, DVC, and MLflow.

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

Tutorial on experiment tracking and reproducibility for Machine Learning projects with DVC

End-to-End deployment of E-commerce customers segmentation using Clustering Machine learning algorithms in Google Cloud Platform and MLOps Tools

The aim of this project is to develop an efficient computer vision model capable of real-time wildlife detection.

A demonstration of how DVC and MLFlow can be used in the task of data relabeling

These are my notes of the Udacity Nanodegree Machine Learning DevOps Engineer.

This pipeline is built for basic MLOps.

? Template for ML projects using VSCode Development Containers