ML-Papers-of-the-Week VS ai-topics

Compare ML-Papers-of-the-Week vs ai-topics and see what are their differences.

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ML-Papers-of-the-Week ai-topics
2 1
9,000 15
4.2% -
8.5 2.2
2 days ago 10 months ago
Jupyter Notebook
- -
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.

ML-Papers-of-the-Week

Posts with mentions or reviews of ML-Papers-of-the-Week. We have used some of these posts to build our list of alternatives and similar projects.

ai-topics

Posts with mentions or reviews of ai-topics. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-21.

What are some alternatives?

When comparing ML-Papers-of-the-Week and ai-topics you can also consider the following projects:

fastMONAI - Simplifying deep learning for medical imaging

awesome-ai-awesomeness - A curated list of awesome awesomeness about artificial intelligence

CAH - Code used for Cards Against Humanity EMNLP paper

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

Goodreads-Review-Webscraping-and-Text-Analysis - Goodreads review data along with scraping functions and machine learning models for spam detection

awesome-semantic-segmentation - :metal: awesome-semantic-segmentation

nlphose - Enables creation of complex NLP pipelines in seconds, for processing static files or streaming text, using a set of simple command line tools. Perform multiple operation on text like NER, Sentiment Analysis, Chunking, Language Identification, Q&A, 0-shot Classification and more by executing a single command in the terminal. Can be used as a low code or no code Natural Language Processing solution. Also works with Kubernetes and PySpark !

AirSim - Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

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