FreeDiscovery VS happy-transformer

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

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FreeDiscovery happy-transformer
1 1
72 497
- -
0.0 9.0
almost 2 years ago about 1 month ago
Python Python
GNU General Public License v3.0 or later 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.

FreeDiscovery

Posts with mentions or reviews of FreeDiscovery. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-31.

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.

What are some alternatives?

When comparing FreeDiscovery and happy-transformer you can also consider the following projects:

FreeEed - Open source eDiscovery

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

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

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

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

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

gensim - Topic Modelling for Humans

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.

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.