happy-transformer VS bllip-parser

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

happy-transformer

Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models. (by EricFillion)
language-models Artificial intelligence AI question-answering Bert roberta NLP Machine Learning text-classification Deep Learning Transformers Python Natural Language Processing
Source Code
happytransformer.com
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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. (by BLLIP)
Natural Language Processing Parsing Machine Learning NLP nlp-library AI Artificial intelligence computational-linguistics
Source Code
bllip.cs.brown.edu
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happy-transformer bllip-parser
1 1
503 227
- 0.9%
9.0 1.8
about 2 months ago over 2 years ago
Python GAP
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.
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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.

bllip-parser

Posts with mentions or reviews of bllip-parser. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-26.

What are some alternatives?

When comparing happy-transformer and bllip-parser 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.

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

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

zshot - Zero and Few shot named entity & relationships recognition

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

nlpaug - Data augmentation for NLP

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

Catalyst - 🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

small-text - Active Learning for Text Classification in Python

Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

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

thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

happy-transformer vs FARM bllip-parser vs spaCy happy-transformer vs transformers-interpret bllip-parser vs zshot happy-transformer vs FinBERT-QA bllip-parser vs nlpaug happy-transformer vs transformers bllip-parser vs Catalyst happy-transformer vs small-text bllip-parser vs Stanza happy-transformer vs gector bllip-parser vs thinc