LinkBERT VS qagnn

Compare LinkBERT vs qagnn and see what are their differences.

qagnn

[NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs 🤖 (by michiyasunaga)
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LinkBERT qagnn
2 6
389 588
- -
1.8 0.0
about 2 years ago about 1 year ago
Python Python
Apache License 2.0 MIT License
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.

LinkBERT

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

qagnn

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

What are some alternatives?

When comparing LinkBERT and qagnn you can also consider the following projects:

PaddleNLP - 👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.

kiri - Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

CogVLM - a state-of-the-art-level open visual language model | 多模态预训练模型

RecBole - A unified, comprehensive and efficient recommendation library

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

kiri - Kiri is a visual tool designed for reviewing schematics and layouts of KiCad projects that are version-controlled with Git.

uform - Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️

prompt-lib - A set of utilities for running few-shot prompting experiments on large-language models

LMFlow - An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

pal - PaL: Program-Aided Language Models (ICML 2023)

question_extractor - Generate question/answer training pairs out of raw text.