whispering-gophers VS lmsoc

Compare whispering-gophers vs lmsoc and see what are their differences.

whispering-gophers

Whispering Gophers is a Go workshop (by campoy)
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lmsoc

Code for reproducing our paper: LMSOC: An Approach for Socially Sensitive Pretraining (by twitter-research)
Machine Learning Natural Language Processing social-network network-analysis graph-machine-learning contextual-embeddings Transformers
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whispering-gophers lmsoc
2 4
70 11
- -
0.0 0.0
over 2 years ago over 2 years ago
Go Jupyter Notebook
BSD 3-clause "New" or "Revised" License Apache License 2.0
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.

whispering-gophers

Posts with mentions or reviews of whispering-gophers. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-04.

lmsoc

Posts with mentions or reviews of lmsoc. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-04.
  • A vision for a social model of open source
    12 projects | dev.to | 4 Jun 2022
    We have seen how important validation and verification is for reproducing results in research, which is why more and more journals and conferences are requesting that article or paper submissions are paired with reference implementations. These projects rarely see updates or bug fixes, but it is important for them to be open source in order for others to study the code, learn from them, and incorporate the methodologies into their own applications. Examples include ACORN and LMSOC.
  • [R] Twitter Cortex Proposes LMSOC for Socially Sensitive Pretraining
    1 project | /r/artificial | 3 Nov 2021
    Code for https://arxiv.org/abs/2110.10319 found: https://github.com/twitter-research/lmsoc
    1 project | /r/deeplearning | 3 Nov 2021
    The LMSOC code is available on the project’s Github. The paper LMSOC: An Approach for Socially Sensitive Pretraining is on arXiv.
    1 project | /r/MachineLearning | 3 Nov 2021
    The LMSOC code is available on the project’s Github. The paper LMSOC: An Approach for Socially Sensitive Pretraining is on arXiv.

What are some alternatives?

When comparing whispering-gophers and lmsoc you can also consider the following projects:

tex-customizations - Various packages and classes for LaTeX

pythoncode-tutorials - The Python Code Tutorials

samples - WebRTC Web demos and samples

whispering-gophers vs tex-customizations lmsoc vs pythoncode-tutorials whispering-gophers vs samples lmsoc vs tex-customizations