news-please
happy-transformer
| news-please | happy-transformer | |
|---|---|---|
| 1 | 1 | |
| 1,937 | 500 | |
| - | - | |
| 7.3 | 9.0 | |
| 4 months ago | about 2 months 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.
news-please
-
Data extraction from news media outlets?
Look at news-please, you can find it in GitHub. I did something similar and it was very helpful. You can hit me up with if you have any questions.
happy-transformer
-
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?
TorCrawl.py - Crawl and extract (regular or onion) webpages through TOR network
FARM - :house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
MPKExtractor - Simple extractor script for Diablo Immortal's .MPK files
transformers-interpret - Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
newspaper - newspaper3k is a news, full-text, and article metadata extraction in Python 3. Advanced docs:
FinBERT-QA - Financial Domain Question Answering with pre-trained BERT Language Model
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
small-text - Active Learning for Text Classification in Python
gector - Official implementation of the papers "GECToR – Grammatical Error Correction: Tag, Not Rewrite" (BEA-20) and "Text Simplification by Tagging" (BEA-21)
quickai - QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.
FreeDiscovery - Web Service for E-Discovery Analytics
bllip-parser - BLLIP reranking parser (also known as Charniak-Johnson parser, Charniak parser, Brown reranking parser) See http://pypi.python.org/pypi/bllipparser/ for Python module.