aws-mlu-explain VS best_AI_papers_2021

Compare aws-mlu-explain vs best_AI_papers_2021 and see what are their differences.

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aws-mlu-explain best_AI_papers_2021
3 30
376 2,904
3.5% -
7.2 2.7
5 months ago 7 months ago
JavaScript
GNU General Public License v3.0 or later 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.

aws-mlu-explain

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

best_AI_papers_2021

Posts with mentions or reviews of best_AI_papers_2021. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-06.

What are some alternatives?

When comparing aws-mlu-explain and best_AI_papers_2021 you can also consider the following projects:

netron - Visualizer for neural network, deep learning and machine learning models

CVPR2024-Papers-with-Code - CVPR 2024 论文和开源项目合集

clearml - ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

Best_AI_paper_2020 - A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

picovoice - On-device voice assistant platform powered by deep learning

license-against-the-machine - Strictly no AIs

Dannjs - Easy to use Deep Neural Network Library for JavaScript.

rtdl - Research on Tabular Deep Learning (Python package & papers) [Moved to: https://github.com/Yura52/rtdl]

best_AI_papers_2022 - A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.

NN-SVG - Publication-ready NN-architecture schematics.

sandlib