Google Drive API Python wrapper library. Maintained fork of PyDrive.

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

All the available resources to master MLOPS from scratch

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

Digital Image Correlation & Digital Volume Correlation Library

Machine learning experiment tracking and data versioning with DVC extension for VS Code

Get started DVC project (NLP, random forest)

📈 Log and track ML metrics, parameters, models with Git and/or DVC

DagsHub client libraries

Dataset registry DVC project

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

Get started DVC project

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

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

Mount remote repositories, models and datasets managed by Git LFS instantly.

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.

Create, visualize, run & benchmark DVC pipelines in Python & Jupyter notebooks.

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