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@VILA-Lab

VILA-Lab: Vision and Language Acceleration Lab

Vision/Language, learning and acceleration group

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  1. ATLAS ATLAS Public

    A principled instruction benchmark on formulating effective queries and prompts for large language models (LLMs). Our paper: https://arxiv.org/abs/2312.16171

    Python 934 93

  2. SRe2L SRe2L Public

    (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original ImageNet-1K val set.

    Python 122 17

  3. Open-LLM-Leaderboard Open-LLM-Leaderboard Public

    Open-LLM-Leaderboard: Open-Style Question Evaluation. Paper at https://arxiv.org/abs/2406.07545

    Python 34 3

  4. DELT DELT Public

    Official implementation to DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation which outperforms SOTA top 1-acc by +1.3% and increases diversity per class by +5%

    Python 18

Repositories

Showing 7 of 7 repositories
  • DELT Public

    Official implementation to DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation which outperforms SOTA top 1-acc by +1.3% and increases diversity per class by +5%

    VILA-Lab/DELT’s past year of commit activity
    Python 18 0 0 0 Updated Dec 2, 2024
  • SRe2L Public

    (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original ImageNet-1K val set.

    VILA-Lab/SRe2L’s past year of commit activity
    Python 122 17 1 0 Updated Nov 15, 2024
  • Open-LLM-Leaderboard Public

    Open-LLM-Leaderboard: Open-Style Question Evaluation. Paper at https://arxiv.org/abs/2406.07545

    VILA-Lab/Open-LLM-Leaderboard’s past year of commit activity
    Python 34 CC-BY-4.0 3 1 0 Updated Jun 27, 2024
  • Open-LLM-Leaderboard-Website Public
    VILA-Lab/Open-LLM-Leaderboard-Website’s past year of commit activity
    HTML 1 0 0 0 Updated Jun 15, 2024
  • ATLAS Public

    A principled instruction benchmark on formulating effective queries and prompts for large language models (LLMs). Our paper: https://arxiv.org/abs/2312.16171

    VILA-Lab/ATLAS’s past year of commit activity
    Python 934 Apache-2.0 93 6 0 Updated May 28, 2024
  • GBLM-Pruner Public

    Are gradient information useful for pruning of LLMs?

    VILA-Lab/GBLM-Pruner’s past year of commit activity
    Python 40 MIT 8 1 0 Updated Apr 22, 2024
  • i-mae Public

    i-mae Pytorch Repo

    VILA-Lab/i-mae’s past year of commit activity
    Python 19 3 2 0 Updated Apr 6, 2024

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