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  1. A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.

    C++ 39 7

  2. Learn and design nanophotonic structures, surface plasmon devices... Using powerful machine learning algorithms(CNN, GBRT, differentiable forest...)

    Python 13 13

  3. best CPU/GPU sparse solver for large sparse matrices

    C 4 2

  4. Optical Neural Networks on PyTorch. diffractive propagation, nonlinear-photonic-activation

    Python 13 7

  5. Fast Differentiable Forest lib with the advantages of both decision trees and neural networks

    Python 39 10

  6. Search neural-net structure with differentiable attention

    Python

198 contributions in the last year

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Contribution activity

September - November 2020

closest-git has no activity yet for this period.

August 2020

Created 1 commit in 1 repository

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