Get to know DagsHub interactively.
The goal of this session is to help you learn how to get started with Dagshub. We will do it interactively in a way that will enable you to gain hands-on experience.
This session has three parts, which are not dependent on each other. This way, you can choose the topic you want to cover and start from there.
1. Platform overview: explore DagsHub using the SavtaDepth project to learn about its main features.
2. DVC integration: learn what DVC is, how to use it with DagsHub, and use it to version data, and push it to DagsHub Storage.
3. Experiment Tracking: Learn about DagsHub Logger and MLflow and use them to log experiments to DagsHub
Walkthrough Materials:
- MLflow Tracking - Colab Notebook - colab.research.google.com/dri...
- MLflow Tracking Commands - dagshub.com/nirbarazida/DAGsH...
- Git Tracking Commands - dagshub.com/nirbarazida/DAGsH...
- DVC in a nutshell - How to use Git & DVC at a high level (NO code) - • Version Control with D...
- DVC Commands - dagshub.com/nirbarazida/DAGsH...
We welcome you to join our community on Discord: - / discord
Timestamps
00:00 - Intro
02:12 - Platform Walkthrough
16:23 - Experiment Tracking at a high level
23:20 - Interactive MLflow Experiment Tracking
30:10 - Interactive DVC Tracking
🌐Check Out Our Website! dagshub.com
Social Links:
LinkedIn: / dagshub
Twitter: / therealdagshub
Watch More Videos:
▶️ Experiment Tracking using Git & MLflow - Hands-on Session
• Experiment Tracking us...
▶️ Version Control with DVC in a Nutshell (no code)
• Version Control with D...
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