small-text VS MONAILabel

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

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small-text MONAILabel
4 1
520 542
0.4% 2.8%
7.6 7.9
5 days ago 10 days ago
Python Python
MIT License Apache License 2.0
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.

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.

MONAILabel

Posts with mentions or reviews of MONAILabel. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

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

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

medicaldetectiontoolkit - The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

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

pytorch-toolbelt - PyTorch extensions for fast R&D prototyping and Kaggle farming

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.

SlicerTomoSAM - An extension of 3D Slicer using the Segment Anything Model (SAM) to aid the segmentation of 3D data from tomography or other imaging techniques.

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

mammography_metarepository - Meta-repository of screening mammography classifiers

automl-docker - CLI-based tool to automatically build ML models from training data into a servable Docker container

Active-Learning-as-a-Service - A scalable & efficient active learning/data selection system for everyone.

DECIMER-Image_Transformer - DECIMER: Deep Learning for Chemical Image Recognition using Efficient-Net V2 + Transformer

Brain-Tumor-Segmentation-And-Classification - Brain Tumor Segmentation And Classification using artificial intelligence