https://github.com/aimhubio/aim-ludwig-demo
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○Scientific vocabulary similarity
Low similarity (10.3%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: aimhubio
- Language: Jupyter Notebook
- Default Branch: main
- Size: 57.3 MB
Statistics
- Stars: 4
- Watchers: 4
- Forks: 2
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Ludwig is a toolbox built on top of TensorFlow that allows users to train and test deep learning models without the need to write code.
All you need to provide is a dataset file containing your data, a list of columns to use as inputs, and a list of columns to use as outputs, Ludwig will do the rest. Simple commands can be used to train models both locally and in a distributed way, and to use them to predict new data.
A programmatic API is also available in order to use Ludwig from your python code. A suite of visualization tools allows you to analyze models' training and test performance and to compare them.
Why use Aim
Aim is an open-source, self-hosted ML experiment tracking tool. It's good at tracking lots (1000s) of training runs and it allows you to compare them with a performant and beautiful UI.
You can use not only the great Aim UI but also its SDK to query your runs' metadata programmatically. That's especially useful for automations and additional analysis on a Jupyter Notebook.
Aim's mission is to democratize AI dev tools.
Using Aim with Ludwig
Aim allows for seamless integration into the inner backend of ludwig (training/inference pipelines) and allows you to track your experiments with in-depth granularity. For the demo please observe the notebook embedded within the repo.
Training is easy:
ludwig train --dataset DATA_PATH --config_file CONFIG_PATH --aim
Owner
- Name: Aim
- Login: aimhubio
- Kind: organization
- Location: Berkeley, California
- Website: https://aimstack.io
- Twitter: aimstackio
- Repositories: 10
- Profile: https://github.com/aimhubio
AI Development Environment
GitHub Events
Total
Last Year
Issues and Pull Requests
Last synced: about 1 year ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0