deep-active-learning
Deep Active Learning (by ej0cl6)
awesome-active-learning
A curated list of awesome Active Learning (by baifanxxx)
| deep-active-learning | awesome-active-learning | |
|---|---|---|
| 1 | 1 | |
| 758 | 675 | |
| - | - | |
| 10.0 | 4.0 | |
| over 1 year ago | 21 days ago | |
| Python | ||
| MIT License | Creative Commons Zero v1.0 Universal |
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.
deep-active-learning
Posts with mentions or reviews of deep-active-learning.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-16.
awesome-active-learning
Posts with mentions or reviews of awesome-active-learning.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-16.
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Strategies for selecting what data to annotate?
Github repos: https://github.com/baifanxxx/awesome-active-learning
What are some alternatives?
When comparing deep-active-learning and awesome-active-learning you can also consider the following projects:
lightly - A python library for self-supervised learning on images.
examples - Notebooks demonstrating example applications of the cleanlab library
argilla - Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.
cleanlab - The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
modAL - A modular active learning framework for Python
adaptive - :chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
refinery - The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.