🏺 Version Control Data and Models with W&B Artifacts
Weights & Biases Weights & Biases
53.5K subscribers
17,274 views
196

 Published On Nov 19, 2020

In this video, Weights & Biases Deep Learning Educator Charles Frye demonstrates how to instrument an ML pipeline with Artifacts, a version control system for datasets, models, and more from W&B. Your work belongs in a museum, so treat it that way!

Follow along in Colab: http://wandb.me/artifacts-colab
Learn how to track training runs in W&B: http://wandb.me/pytorch-video

Weights & Biases makes developer tools for machine learning: record and visualize every detail of your research, collaborate easily, advance the state of the art - we’re always free for academics and open source projects.

Join our community of ML practitioners where we host AMA's, share interesting projects and meet other people working in Deep Learning:
http://wandb.me/slack

Our gallery features curated machine learning reports by researchers exploring deep learning techniques, Kagglers showcasing winning models, and industry leaders sharing best practices.
https://wandb.ai/gallery

show more

Share/Embed