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@AI-Efficiency

Efficient Intelligence and Systems (EIS) Lab

Pushing AI efficiency from algorithms, to silicon, to real-world systems.

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  1. Awesome-Model-Quantization Awesome-Model-Quantization Public

    A curated collection of papers, benchmarks, surveys, and tools for model quantization, covering low-bit networks, LLMs, multimodal and generative models, vector and lattice quantization, and effici…

    2.4k 241

  2. Awesome-Efficient-Diffusion Awesome-Efficient-Diffusion Public

    A curated list of papers and code on efficient diffusion models for image, video, world modeling, and language generation. Covering acceleration, quantization, compression, caching, and distillation.

    209 8

  3. BiBERT BiBERT Public

    This project is the official implementation of our accepted ICLR 2022 paper BiBERT: Accurate Fully Binarized BERT.

    Python 89 6

  4. Qwen3-Quantization-Toolkit Qwen3-Quantization-Toolkit Public

    Python 81 8

  5. IR-QLoRA IR-QLoRA Public

    [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retention

    Python 65 4

  6. BiBench BiBench Public

    [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binarization.

    Python 55 5

Repositories

Showing 8 of 8 repositories
  • AI-Efficiency/Qwen3-Quantization-Toolkit's past year of commit activity
    Python 81 Apache-2.0 8 5 0 Updated Sep 11, 2026
  • QuantSRv2 Public

    [TPAMI 2026] This project is the implementation of our paper QuantSR+: Pushing the Limit of Quantized Image Super-Resolution Networks.

    AI-Efficiency/QuantSRv2's past year of commit activity
    Python 6 Apache-2.0 1 2 0 Updated Sep 11, 2026
  • BiBench Public

    [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binarization.

    AI-Efficiency/BiBench's past year of commit activity
    Python 55 5 3 0 Updated Sep 11, 2026
  • BiBERT Public

    This project is the official implementation of our accepted ICLR 2022 paper BiBERT: Accurate Fully Binarized BERT.

    AI-Efficiency/BiBERT's past year of commit activity
    Python 89 6 3 0 Updated Sep 11, 2026
  • IR-QLoRA Public

    [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retention

    AI-Efficiency/IR-QLoRA's past year of commit activity
    Python 65 4 6 0 Updated Sep 11, 2026
  • Awesome-Efficient-Diffusion Public

    A curated list of papers and code on efficient diffusion models for image, video, world modeling, and language generation. Covering acceleration, quantization, compression, caching, and distillation.

    AI-Efficiency/Awesome-Efficient-Diffusion's past year of commit activity
    209 8 1 0 Updated Sep 11, 2026
  • Awesome-Model-Quantization Public

    A curated collection of papers, benchmarks, surveys, and tools for model quantization, covering low-bit networks, LLMs, multimodal and generative models, vector and lattice quantization, and efficient deployment.

    AI-Efficiency/Awesome-Model-Quantization's past year of commit activity
    2,444 241 1 0 Updated Sep 11, 2026
  • AI-Efficiency/AI-Efficiency.github.io's past year of commit activity
    HTML 1 0 0 0 Updated Jul 9, 2026

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