Graphs4Sci
By DataForScience
lmsoc
Code for reproducing our paper: LMSOC: An Approach for Socially Sensitive Pretraining (by twitter-research)
| Graphs4Sci | lmsoc | |
|---|---|---|
| 1 | 4 | |
| 42 | 11 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | over 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT 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.
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.
Graphs4Sci
Posts with mentions or reviews of Graphs4Sci.
We have used some of these posts to build our list of alternatives
and similar projects.
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.
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A vision for a social model of open source
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.
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[R] Twitter Cortex Proposes LMSOC for Socially Sensitive Pretraining
Code for https://arxiv.org/abs/2110.10319 found: https://github.com/twitter-research/lmsoc
The LMSOC code is available on the project’s Github. The paper LMSOC: An Approach for Socially Sensitive Pretraining is on arXiv.
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 Graphs4Sci and lmsoc you can also consider the following projects:
egsis - EGSIS: Exploratory Graph-based Semi-supervised Image Segmentation
pythoncode-tutorials - The Python Code Tutorials
tex-customizations - Various packages and classes for LaTeX
60-Days-of-Data-Science-and-ML - 60 Days of Data Science and ML
CPython - The Python programming language
demo - 🤖 Fork me to try out Dependabot
intro-to-vue - Workshop Materials for my Introduction to Vue.js Workshop
ld-find-code-refs - Build tool for automatically sending feature flag code references to LaunchDarkly
samples - WebRTC Web demos and samples
ACORN - ACORN: Adaptive Coordinate Networks for Neural Scene Representation | SIGGRAPH 2021
install-next - Playing with install