MoneroAddressesCS VS stanford-cs-229-machine-learning

Compare MoneroAddressesCS vs stanford-cs-229-machine-learning and see what are their differences.

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MoneroAddressesCS stanford-cs-229-machine-learning
1 1
2 16,526
- -
0.0 0.0
over 1 year ago almost 4 years ago
- 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.

MoneroAddressesCS

Posts with mentions or reviews of MoneroAddressesCS. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-07.

stanford-cs-229-machine-learning

Posts with mentions or reviews of stanford-cs-229-machine-learning. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing MoneroAddressesCS and stanford-cs-229-machine-learning you can also consider the following projects:

outreach-docs - Monero's community outreach and education wing

machine-learning-roadmap - A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

RctCS - Monero's RingCT Type 5 (RCTTypeCLSAG) cheatsheet, leveraging previous ones about Addresses and Ring Signatures

applied-ml - 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

modern-php-cheatsheet - Cheatsheet for some PHP knowledge you will frequently encounter in modern projects.

fsharp-cheatsheet - An updated cheat sheet for F# 🔷🦔💙💛🤍💚

mongodb-cheatsheet - Kick start with mongodb

pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

Awesome-VAEs - A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

ethz_cs_summaries - Summaries / Cheat Sheets created at ETH Zurich BsC Computer Science & MsC Data Science

markdown-wikitext - A cheatsheet mirroring Markdown and Wikitext