retomaton VS RETRO-pytorch

Compare retomaton vs RETRO-pytorch and see what are their differences.

retomaton

PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022) (by neulab)

RETRO-pytorch

Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch (by lucidrains)
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Nutrient – The #1 PDF SDK Library, trusted by 10K+ developers
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retomaton RETRO-pytorch
1 2
71 857
- 0.9%
0.0 2.8
over 2 years ago over 1 year ago
Python Python
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.

retomaton

Posts with mentions or reviews of retomaton. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-22.

RETRO-pytorch

Posts with mentions or reviews of RETRO-pytorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-22.

What are some alternatives?

When comparing retomaton and RETRO-pytorch you can also consider the following projects:

TSP_Solver - Python code for visualizations of algorithms that provide approximate solutions to TSP along with two lower bound approximations

SHREC2023-ANIMAR - Source codes of team TikTorch (1st place solution) for track 2 and 3 of the SHREC2023 Challenge

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Nutrient – The #1 PDF SDK Library, trusted by 10K+ developers
Other PDF SDKs promise a lot - then break. Laggy scrolling, poor mobile UX, tons of bugs, and lack of support cost you endless frustrations. Nutrient’s SDK handles billion-page workloads - so you don’t have to debug PDFs. Used by ~1 billion end users in more than 150 different countries.
www.nutrient.io
featured

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