PIXIU VS happy-transformer

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

PIXIU

This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI). (by The-FinAI)
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PIXIU happy-transformer
6 1
406 503
8.9% -
8.9 9.0
7 days ago about 2 months ago
Jupyter Notebook Python
MIT License 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.
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PIXIU

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

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

spacy-llm - 🦙 Integrating LLMs into structured NLP pipelines

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

Baichuan-13B - A 13B large language model developed by Baichuan Intelligent Technology

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

Baichuan-7B - A large-scale 7B pretraining language model developed by BaiChuan-Inc.

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

chatgpt-extractive-shortener - Shortens a paragraph of text with ChatGPT, using successive rounds of word-level extractive summarization.

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

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

small-text - Active Learning for Text Classification in Python

ARElight - Granular Viewer of Sentiments Between Entities in Massively Large Documents and Collections of Texts, powered by AREkit

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