This is the Linux app named Argilla whose latest release can be downloaded as v1.17.0sourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
Argilla
DESCRIPTION:
Argilla is a production-ready framework for building and improving datasets for NLP projects. Deploy your own Argilla Server on Spaces with a few clicks. Use embeddings to find the most similar records with the UI. This feature uses vector search combined with traditional search (keyword and filter based). Argilla is free, open-source, and 100% compatible with major NLP libraries (Hugging Face transformers, spaCy, Stanford Stanza, Flair, etc.). In fact, you can use and combine your preferred libraries without implementing any specific interface. Most annotation tools treat data collection as a one-off activity at the beginning of each project. In real-world projects, data collection is a key activity of the iterative process of ML model development. Once a model goes into production, you want to monitor and analyze its predictions, and collect more data to improve your model over time. Argilla is designed to close this gap, enabling you to iterate as much as you need.
Features
- Beyond hand-labeling
- Data labeling and curation
- Log and observe predictions of live models
- Easily compute “live” metrics from models in production
- Collect labels to start a project from scratch or from existing live models
- Log predictions during the development process to visually spot issues
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/argilla.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.