There are 3 repositories under dvc topic.
Generic template to bootstrap your PyTorch project.
Fast Data Science, AKA fds, is a CLI for Data Scientists to version control data and code at once, by conveniently wrapping git and dvc
🛠 MLOps end-to-end guide and tutorial website, using IBM Watson, DVC, CML, Terraform, Github Actions and more.
All the available resources to master MLOPS from scratch
Machine learning experiment tracking and data versioning with DVC extension for VS Code
Digital Image Correlation & Digital Volume Correlation Library
Get started DVC project (NLP, random forest)
Dataset registry DVC project
A list of projects relying on Iterative.AI tools to achieve awesomeness
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.
Get started DVC project
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
[CVPR 2024] Do you remember? Dense Video Captioning with Cross-Modal Memory Retrieval
Awesome MLOps Course Outline
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
🍪 Cookiecutter template for MLOps Project. Based on: https://mlops-guide.github.io/
A use case of a reproducible machine learning pipeline using Dask, DVC, and MLflow.
Reading time from analog clocks
Source code and generator scripts for example DVC projects
Implementation of USAD (UnSupervised Anomaly Detection on multivariate time series) in PyTorch Lightning
A simple yet complete guide to MLOps tools and practices - from a conventional way to a modern approach of working with ML projects.
Tutorial on experiment tracking and reproducibility for Machine Learning projects with DVC
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
Open-source 3D Model datasets
Building a maintainable Machine Learning pipeline using DVC
❓ DVC Studio Issues, Question, and Discussions