tldr-transformers VS language-planner

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

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tldr-transformers language-planner
4 1
167 213
- -
0.0 0.0
over 1 year ago almost 2 years ago
Jupyter Notebook
MIT License MIT License
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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!

language-planner

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

What are some alternatives?

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

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.

gpt-3-simple-tutorial - Generate SQL from Natural Language Sentences using OpenAI's GPT-3 Model

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

augmented-interpretable-models - Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.

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

alpaca_eval - An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

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

BLOOM-fine-tuning - Finetune BLOOM

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

Fast-Transformer - An implementation of Fastformer: Additive Attention Can Be All You Need, a Transformer Variant in TensorFlow

transformers-convert

mgpt - Multilingual Generative Pretrained Model