DagsHub client libraries

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A project combining DagsHub and Google Colab – Showcasing DagsHub as an ML-first GDrive Alternative

Sample of image data with segmentation annotations in COCO format.

Automates migration of ML experiment data from Weights & Biases to DagsHub using MLflow for unified experiment tracking. Facilitates easy sharing, collaboration, and version control of ML projects.

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We're excited to introduce interactive Jupyter Notebook Outputs 🚀 This project has a few examples of working with interactive notebook outputs for data profiling and embedded experiment tracking on DagsHub

DPT is a QA-bot designed to help answer questions about DagsHub. It is a fork of the brilliant buster project.

A project for onboarding materials for DagsHub. Mainly used in the DagsHub Docs

This repository hold open source datasets for various machine learning domains with a link to download and use them

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A repository that holds all the issues on DagsHub that take part in Hacktoberfest 2023 for contribution management

This repository holds open-source machine learning models for various domains ready to download and use

A repository that holds machine learning projects with DVC data pipeline

A repository that holds machine learning projects that uses MLflow for experiment tracking

Machine Learning papers with code, data and models