beto VS tldr-transformers

Compare beto vs tldr-transformers and see what are their differences.

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
beto tldr-transformers
1 4
479 167
0.6% -
4.5 0.0
7 months ago over 1 year ago
Creative Commons Attribution 4.0 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.

beto

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

tldr-transformers

Posts with mentions or reviews of tldr-transformers. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-12.
  • Show HN: The “tl;dr” of Recent Transformer Papers
    1 project | news.ycombinator.com | 15 Aug 2021
  • Show HN: Tl;Dr” on Transformers Papers
    1 project | news.ycombinator.com | 12 Aug 2021
    With the explosion in research on all things transformers, it seemed there was a need to have a single table to distill the "tl;dr" of each paper's contributions relative to each other. Here is what I got so far: https://github.com/will-thompson-k/tldr-transformers . Would love feedback - and feel free to contribute too :)
  • [P] NLP "tl;dr" Notes on Transformers
    2 projects | /r/MachineLearning | 12 Aug 2021
    In any case, I'm liking the first glance so far. I'd just transpose the summary tables so they wouldn't get so tightly squeezed: https://github.com/will-thompson-k/tldr-transformers/blob/main/notes/bart.md
    1 project | /r/learnmachinelearning | 12 Aug 2021
    With the explosion in work on all things transformers, I felt the need to keep a single table of the "tl;dr" of various papers to distill their main takeaways: https://github.com/will-thompson-k/tldr-transformers . Would love feedback!

What are some alternatives?

When comparing beto and tldr-transformers you can also consider the following projects:

BERTopic - Leveraging BERT and c-TF-IDF to create easily interpretable topics.

NLP-progress - Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

spark-nlp - State of the Art Natural Language Processing

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

tokenizers - 💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

lemmatization-lists - Machine-readable lists of lemma-token pairs in 23 languages.

azure-sql-db-openai - Samples on how to use Azure SQL database with Azure OpenAI

long-range-arena - Long Range Arena for Benchmarking Efficient Transformers

transformers-convert

language-planner - Official Code for "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents"

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

awesome-instruction-dataset - A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)