machine-learning-cheat-sheet VS papers-I-read

Compare machine-learning-cheat-sheet vs papers-I-read and see what are their differences.

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
machine-learning-cheat-sheet papers-I-read
3 1
6,370 942
- -
0.0 0.0
over 2 years ago about 1 year ago
TeX HTML
- -
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.

machine-learning-cheat-sheet

Posts with mentions or reviews of machine-learning-cheat-sheet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-08.

papers-I-read

Posts with mentions or reviews of papers-I-read. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-22.
  • 👨‍🎓️📊 Data Scientist— 12 Steps From Beginner to Pro
    5 projects | dev.to | 22 Feb 2021
    It is simply impossible to keep track of all publications. The Reddit branches listed above will help to isolate the most important texts (since the author became the head of the AI ​​department at Tesla, the site began to break more often, but it’s still the best tool). There is also such a list of articles with comments and recordings of webinars from the YouTube channel Kaggle with parsing of scientific articles related to data science algorithms.

What are some alternatives?

When comparing machine-learning-cheat-sheet and papers-I-read you can also consider the following projects:

awesome-ai-usecases - A list of awesome and proven Artificial Intelligence use cases and applications

REPL - The Learning Hub for UoL's Online CS Students

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers - aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

lela - Lela is a smart dietician who can help you to maintain diet and it also has Yoga posture detection feature where users can practice yoga at their home. https://lela-dietician.herokuapp.com

machine-learning-interview - Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

UBB-INFO - All projects from university.

MLQuestions - Machine Learning and Computer Vision Engineer - Technical Interview Questions

awesome-public-datasets - A topic-centric list of HQ open datasets. [Moved to: https://github.com/awesomedata/awesome-public-datasets]

Awesome-Diffusion-Models - A collection of resources and papers on Diffusion Models