taxonomy-of-concepts-for-AI
Taxonomy of common concepts based on matrices of concepts, for AI improvement (by paulfranceschi)
texta
Terminology EXtraction and Text Analytics (TEXTA) Toolkit (by texta-tk)
| taxonomy-of-concepts-for-AI | texta | |
|---|---|---|
| 2 | 4 | |
| 3 | 32 | |
| - | - | |
| 10.0 | 10.0 | |
| about 1 year ago | over 1 year ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
taxonomy-of-concepts-for-AI
Posts with mentions or reviews of taxonomy-of-concepts-for-AI.
We have used some of these posts to build our list of alternatives
and similar projects.
texta
Posts with mentions or reviews of texta.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing taxonomy-of-concepts-for-AI and texta you can also consider the following projects:
learn - Neuro-symbolic interpretation learning (mostly just language-learning, for now)
modsysML - Model management toolkit for continuous model improvement. Evaluate and compare LLM outputs, test quality, catch regressions and automate.
mycroft-core - Mycroft Core, the Mycroft Artificial Intelligence platform.
icortex - A no-code development framework—Let AI do the coding for you 🦾
thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
happy-transformer - Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.