gector
happy-transformer
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| gector | happy-transformer | |
|---|---|---|
| 2 | 1 | |
| 863 | 497 | |
| 1.4% | - | |
| 0.0 | 9.0 | |
| 9 months ago | about 1 month ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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.
gector
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ML application for grammar correction
If you capture it, you might as well correct it. Check out Gramformer or Grammarly's Gector. You can do scoring based on number of mistakes proposed by these models i.e. the fewer, the better.
- Is there any way to detect grammatical errors and classify text as being either grammatically correct/incorrect?
happy-transformer
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GPT-Neo-125M-AID (Mia) oversight + retrained
This appears to be an actual issue with Happy Transformer judging by a GitHub issue I've found of the same problem.
What are some alternatives?
Gramformer - A framework for detecting, highlighting and correcting grammatical errors on natural language text. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.
FARM - :house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
transformers-interpret - Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
spark-nlp - State of the Art Natural Language Processing
FinBERT-QA - Financial Domain Question Answering with pre-trained BERT Language Model
DeBERTa - The implementation of DeBERTa
adaptnlp - An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.
small-text - Active Learning for Text Classification in Python
bertviz - BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
quickai - QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.