fscdc/Efficient-AI

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This is a curated collection of research papers, courses, and tools focused on making artificial intelligence models, especially large language models and deep neural networks, run more efficiently. It brings together academic surveys, educational resources like MIT's TinyML course, and lightweight AI engines from major tech companies. Software engineers and AI developers can use this to quickly find information and resources for optimizing the performance and resource consumption of their AI applications.

No commits in the last 6 months.

Use this if you are an AI developer or researcher looking for resources to make your deep learning models run faster or use less memory and power on various hardware.

Not ideal if you are a non-technical end-user looking for a ready-to-use AI application, as this is a resource for building and optimizing such applications.

AI optimization Deep learning deployment Edge AI ML model efficiency Resource-constrained AI
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 0 / 25

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License

MIT

Last pushed

May 29, 2024

Commits (30d)

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