markdown-wikitext
stanford-cs-229-machine-learning
markdown-wikitext | stanford-cs-229-machine-learning | |
---|---|---|
1 | 1 | |
5 | 16,526 | |
- | - | |
0.0 | 0.0 | |
over 3 years ago | almost 4 years ago | |
- | MIT License |
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.
markdown-wikitext
stanford-cs-229-machine-learning
What are some alternatives?
wikiscript - wikiscript gem - scripts for wikipedia (get wikitext for page, parse tables & links, etc.)
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.
naming-cheatsheet - Comprehensive language-agnostic guidelines on variables naming. Home of the A/HC/LC pattern.
applied-ml - π Papers & tech blogs by companies sharing their work on data science & machine learning in production.
golang-cheat-sheet - An overview of Go syntax and features.
modern-php-cheatsheet - Cheatsheet for some PHP knowledge you will frequently encounter in modern projects.
git-tips - :trollface:Gitηε₯ζζ·«ε·§
fsharp-cheatsheet - An updated cheat sheet for F# π·π¦πππ€π
mongodb-cheatsheet - Kick start with mongodb
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
MoneroAddressesCS - An infographic about Monero Keys and Addresses, their relations and scopes
Awesome-VAEs - A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.