happy-transformer VS small-text

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

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happy-transformer small-text
1 4
508 521
- 0.6%
8.4 7.6
3 days 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.

happy-transformer

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

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 happy-transformer and small-text you can also consider the following projects:

FARM - :house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

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

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.

FinBERT-QA - Financial Domain Question Answering with pre-trained BERT Language Model

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

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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

gector - Official implementation of the papers "GECToR – Grammatical Error Correction: Tag, Not Rewrite" (BEA-20) and "Text Simplification by Tagging" (BEA-21)

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

quickai - QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.

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