automl-docker VS small-text

Compare automl-docker vs small-text and see what are their differences.

automl-docker

CLI-based tool to automatically build ML models from training data into a servable Docker container (by code-kern-ai)
auto-ml CLI Containerization Docker Fastapi Natural Language Processing NLP Python text-classification UI Webservice

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small-text

Active Learning for Text Classification in Python (by webis-de)
active-learning text-classification Pytorch Transformers Natural Language Processing Python Machine Learning Deep Learning NLP looking-for-contributors
Source Code
small-text.readthedocs.io
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automl-docker small-text
3 4
52 520
- 0.4%
0.0 7.6
over 1 year ago 7 days ago
Python Python
Apache License 2.0 MIT License
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.

automl-docker

Posts with mentions or reviews of automl-docker. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-01.

small-text

Posts with mentions or reviews of small-text. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-06.

What are some alternatives?

When comparing automl-docker and small-text you can also consider the following projects:

refinery-sample-projects - Containing examples of projects you can use to test refinery. Please select the use case from the branches.

transformers-interpret - Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

kern-automl-blog

happy-transformer - Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.

refinery - The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

NewsMTSC - Target-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.

obsei - Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .

argilla - Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.

automl-docker vs refinery-sample-projects small-text vs transformers-interpret automl-docker vs kern-automl-blog small-text vs happy-transformer automl-docker vs refinery small-text vs NewsMTSC automl-docker vs obsei small-text vs argilla