small-text VS DECIMER-Image_Transformer

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

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small-text DECIMER-Image_Transformer
4 1
520 163
0.4% -
7.6 7.8
5 days ago 7 days ago
Python Python
MIT License 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.

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.

DECIMER-Image_Transformer

Posts with mentions or reviews of DECIMER-Image_Transformer. 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 DECIMER-Image_Transformer 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.

Perceiver - Implementation of Perceiver, General Perception with Iterative Attention in TensorFlow

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

evopose2d - EvoPose2D is a two-stage human pose estimation model that was designed using neuroevolution. It achieves state-of-the-art accuracy on COCO.

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.

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

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

nebuly - The user analytics platform for LLMs

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

pinferencia - Python + Inference - Model Deployment library in Python. Simplest model inference server ever.

MONAILabel - MONAI Label is an intelligent open source image labeling and learning tool.

HugNLP - CIKM2023 Best Demo Paper Award. HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊