stanford-cs-229-machine-learning VS MoneroAddressesCS

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

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning (by afshinea)
Cheatsheet Machine Learning Data Science supervised-learning unsupervised-learning Deep Learning ml-cheatsheet cs229
Source Code
stanford.edu
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MoneroAddressesCS

An infographic about Monero Keys and Addresses, their relations and scopes (by baro77)
Monero Cheatsheet Ed25519 Privacy addresses spend-key view-key utxo
Source Code
bybaro.it
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stanford-cs-229-machine-learning MoneroAddressesCS
1 1
16,526 2
- -
0.0 0.0
almost 4 years ago over 1 year ago
MIT License -
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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.

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.

What are some alternatives?

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

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.

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

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

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

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

stanford-cs-229-machine-learning vs machine-learning-roadmap MoneroAddressesCS vs outreach-docs stanford-cs-229-machine-learning vs applied-ml MoneroAddressesCS vs RctCS stanford-cs-229-machine-learning vs modern-php-cheatsheet stanford-cs-229-machine-learning vs fsharp-cheatsheet stanford-cs-229-machine-learning vs mongodb-cheatsheet stanford-cs-229-machine-learning vs pyod stanford-cs-229-machine-learning vs Awesome-VAEs stanford-cs-229-machine-learning vs ethz_cs_summaries stanford-cs-229-machine-learning vs markdown-wikitext