Efficient Intelligence and Systems
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Awesome-Model-Quantization
Awesome-Model-Quantization PublicA list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (p…
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Awesome-Efficient-AIGC
Awesome-Efficient-AIGC PublicA list of papers, docs, codes about efficient AIGC. This repo is aimed to provide the info for efficient AIGC research, including language and vision, we are continuously improving the project. Wel…
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Repositories
- QuantSRv2 Public
[TPAMI 2026] This project is the implementation of our paper QuantSR+: Pushing the Limit of Quantized Image Super-Resolution Networks.
Efficient-ML/QuantSRv2’s past year of commit activity - Awesome-Model-Quantization Public
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
Efficient-ML/Awesome-Model-Quantization’s past year of commit activity - Qwen3-Quantization-Toolkit Public
Efficient-ML/Qwen3-Quantization-Toolkit’s past year of commit activity - Awesome-Efficient-AIGC Public
A list of papers, docs, codes about efficient AIGC. This repo is aimed to provide the info for efficient AIGC research, including language and vision, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
Efficient-ML/Awesome-Efficient-AIGC’s past year of commit activity - IR-QLoRA Public
[ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retention
Efficient-ML/IR-QLoRA’s past year of commit activity - BiBench Public
[ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binarization.
Efficient-ML/BiBench’s past year of commit activity - BiBERT Public
This project is the official implementation of our accepted ICLR 2022 paper BiBERT: Accurate Fully Binarized BERT.
Efficient-ML/BiBERT’s past year of commit activity
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