exploring-AI-optimization VS Data-science-best-resources

Compare exploring-AI-optimization vs Data-science-best-resources and see what are their differences.

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exploring-AI-optimization Data-science-best-resources
22 2
109 2,769
0.0% -
3.8 0.0
7 months ago 4 months ago
MIT License 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.

exploring-AI-optimization

Posts with mentions or reviews of exploring-AI-optimization. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-27.

Data-science-best-resources

Posts with mentions or reviews of Data-science-best-resources. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-13.

What are some alternatives?

When comparing exploring-AI-optimization and Data-science-best-resources you can also consider the following projects:

nebuly - The user analytics platform for LLMs

manjaro-linux - Shell scripts for setting up Manjaro Linux for Python programming and deep learning

best_AI_papers_2022 - A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.

100-Days-Of-ML-Code - 100 Days of ML Coding

awesome-ai - A curated list of artificial intelligence resources (Courses, Tools, App, Open Source Project)

cheat-sheet-pdf - 📜 A Cheat-Sheet Collection from the WWW

tvm - Open deep learning compiler stack for cpu, gpu and specialized accelerators

free-data-science-books - Free resources for learning data science

prunnable-layers-pytorch - Prunable nn layers for pytorch.

IntRo - Introduction to R for health data

looper - A resource list for causality in statistics, data science and physics

data-science-blogs - A curated list of data science blogs