exploring-AI-optimization VS awesome-ai

Compare exploring-AI-optimization vs awesome-ai and see what are their differences.

exploring-AI-optimization

Curated list of awesome material on optimization techniques to make artificial intelligence faster and more efficient 🚀 (by nebuly-ai)
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exploring-AI-optimization awesome-ai
22 2
109 440
0.0% -
3.8 4.4
7 months ago 20 days 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.

awesome-ai

Posts with mentions or reviews of awesome-ai. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-26.

What are some alternatives?

When comparing exploring-AI-optimization and awesome-ai you can also consider the following projects:

nebuly - The user analytics platform for LLMs

awesome-generative-ai - A curated list of modern Generative Artificial Intelligence projects and services

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.

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

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

Data-science-best-resources - Carefully curated resource links for data science in one place