BERTweet VS kiri

Compare BERTweet vs kiri and see what are their differences.

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BERTweet kiri
1 2
555 459
2.9% -
2.6 8.0
4 months ago 3 days ago
Python Shell
MIT License 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.

BERTweet

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

kiri

Posts with mentions or reviews of kiri. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-12.

What are some alternatives?

When comparing BERTweet and kiri you can also consider the following projects:

simpletransformers - Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

Questgen.ai - Question generation using state-of-the-art Natural Language Processing algorithms

DeBERTa - The implementation of DeBERTa

CoWin-Vaccine-Notifier - Automated Python Script to retrieve vaccine slots availability and get notified when a slot is available.

gpt-neox - An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

nlu - 1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.

lm-evaluation-harness - A framework for few-shot evaluation of language models.

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

4ms-kicad-lib - libraries for KiCAD schematics and footprints

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

CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image