Building deep learning models may take a lot of time. But not with AutoDL.
Automate your meta-work so that you can focus on building your models without the hassle of writing code.
- ✨ Use our interactive model builder and AI powered suggestion system to quickly whip out a working DL model. ✨
- ✨ Trained your model for multiple hours and found out that it's bugged? Not anymore. With AutoDL's AI ecosystem validate your model before you train it. ✨
- ✨ Host your model just as easily as you created it. ✨
-
If an issue is not "assigned," you can assume that no one is working on it (may NOT be true). So to be sure, you can ask the following:
- Can I take this up?
- Also, mention a rough deadline until which you plan to fix the issue
- (Optionally) Potential fixes DO NOT CREATE a pull request FIRST if someone else is working on it then your efforts might be wasted. Claiming doable and unclaimed issues should be the priority
-
Conventional commits in the PR title are a must
-
For frontend, while creating a pull request attach a screenshot of the change
-
Last but not least, one pull request to fix a typo is fine, but 5 pull requests to remove a stray whitespace is not (reference).
The docs are the perfect place for you to start getting used to Auto-DL.
-
Start with our getting started docs.
-
The doc didn't help? Join our slack and ask your questions!
- You can directly jump to the user guide :)
The contributing guidelines hosts all the information about building Auto-DL from source, how to contribute code and documentation, who to contact about what, etc.
Setup Auto-DL:
-
Improve the UI and UX.
-
Show model training realted stats on the frontend.
-
Visualization and data preprocessing steps.
-
Model Explainability.
You can find us on 
or on 
or join our community on Slack.
Read the FAQ or send us a mail at [email protected]
For more details, visit our website