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120 followers · 27 following
  • ACM honors class, SJTU

Achievements

Achievement: Arctic Code Vault ContributorAchievement: Pull Shark

Achievements

Achievement: Arctic Code Vault ContributorAchievement: Pull Shark

Highlights

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Organizations

@ACM-Class-2016 @Thinklab-SJTU

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UsedToBe97/README.md
Capibara Arcoíris profile control plane

profile layers

这一路破空，苦难有千重谁人懂

Flagship systems

Repository Role Purpose
mit-han-lab/once-for-all stars SPECIALIZE [ICLR 2020] Once for All trains one network and specializes it for efficient deployment.
mit-han-lab/apq stars CO-DESIGN [CVPR 2020] Joint search for network architecture, pruning, and quantization policy.
binghong-ml/MolEvol stars EVOLVE [ICLR 2021] Molecule optimization by explainable evolution.
ACM-Class-2016/probability-theory-lecture-notes stars FOUNDATION Lecture notes of Probability Theory.

Closed-loop architecture

Capibara Arcoíris architecture map

Module registry

Efficient AI · 2 modules
Module Purpose
mit-han-lab/once-for-all Train once, then specialize for efficient deployment.
mit-han-lab/apq Jointly search architecture, pruning, and quantization policy.
Research foundations · 2 modules
Module Purpose
binghong-ml/MolEvol Explainable evolutionary molecule optimization.
ACM-Class-2016/probability-theory-lecture-notes Lecture notes of Probability Theory.

GitHub

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  1. mit-han-lab/once-for-all mit-han-lab/once-for-all Public

    [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

    Python 2k 344

  2. mit-han-lab/apq mit-han-lab/apq Public

    [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy

    Python 160 32

  3. binghong-ml/MolEvol binghong-ml/MolEvol Public

    Source code for ICLR 2021 paper: "Molecule Optimization by Explainable Evolution"

    Python 31 11

  4. ACM-Class-2016/probability-theory-lecture-notes ACM-Class-2016/probability-theory-lecture-notes Public

    Lecture notes of Probability Theory.

    TeX 50 18