Awesome-Quantization-Papers
List of papers related to neural network quantization in recent AI conferences and journals.
Read a curated list of research papers on neural network quantization for efficient deep learning.
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Free · no card · unsubscribe anytimeList of papers related to neural network quantization in recent AI conferences and journals.
Awesome-Quantization-Papers has 848 stars on GitHub. It has been forked 66 times. It has been in active development since 2022. Awesome-Quantization-Papers is available under the MIT license. Its main topics are awesome-list, diffusion-models, edge-computing, efficient-inference.
What is Awesome-Quantization-Papers?
List of papers related to neural network quantization in recent AI conferences and journals.
Is Awesome-Quantization-Papers open source?
Awesome-Quantization-Papers is an open-source project. It is released under the MIT license.
Is Awesome-Quantization-Papers free?
Yes. Awesome-Quantization-Papers is free and open source — you can use, modify and self-host it.
What license does Awesome-Quantization-Papers use?
Awesome-Quantization-Papers is available under the MIT license.
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