AliceMind VS RATransformers

Compare AliceMind vs RATransformers and see what are their differences.

AliceMind

ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab (by alibaba)

RATransformers

RATransformers 🐭- Make your transformer (like BERT, RoBERTa, GPT-2 and T5) Relation Aware! (by JoaoLages)
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AliceMind RATransformers
1 1
1,946 41
1.3% -
5.7 0.0
about 2 months ago over 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.

AliceMind

Posts with mentions or reviews of AliceMind. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-05.

RATransformers

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

What are some alternatives?

When comparing AliceMind and RATransformers you can also consider the following projects:

mPLUG-Owl - mPLUG-Owl & mPLUG-Owl2: Modularized Multimodal Large Language Model

extreme-bert - ExtremeBERT is a toolkit that accelerates the pretraining of customized language models on customized datasets, described in the paper “ExtremeBERT: A Toolkit for Accelerating Pretraining of Customized BERT”.

jina-financial-qa-search

pixel - Research code for pixel-based encoders of language (PIXEL)

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

transformer-mlm - Implementation of Transformer Encoders / Masked Language Modeling Objective

frame-semantic-transformer - Frame Semantic Parser based on T5 and FrameNet

happy-transformer - Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.

lightning-mlflow-hf - Use QLoRA to tune LLM in PyTorch-Lightning w/ Huggingface + MLflow