CAH VS ML-Papers-of-the-Week

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

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CAH ML-Papers-of-the-Week
1 2
8 8,943
- 4.2%
3.9 8.5
8 months ago 9 days ago
Jupyter Notebook 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.

CAH

Posts with mentions or reviews of CAH. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-20.

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.

What are some alternatives?

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

AI-For-Beginners - 12 Weeks, 24 Lessons, AI for All!

fastMONAI - Simplifying deep learning for medical imaging

nlpaug - Data augmentation for NLP

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

marqo - Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai

ai-topics - Hot topics on AI

FinGPT - FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

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 !

machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.