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156 followers · 34 following · 119

Highlights

Organizations

@rapidsai

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  1. hyperlearn Archived

    50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

    Jupyter Notebook 1.2k 109

  2. rapidsai/cuml

    cuML - RAPIDS Machine Learning Library

    Cuda 2k 317

  3. scipy/scipy

    Scipy library main repository

    Python 8k 3.6k

  4. pytorch/pytorch

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

    C++ 46.7k 12.4k

  5. pandas-dev/pandas

    Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

    Python 28.7k 12k

  6. cupy/cupy

    A NumPy-compatible array library accelerated by CUDA

    Python 4.9k 440

79 contributions in the last year

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Activity overview
Contributed to danielhanchen/danielhanchen.github.io, danielhanchen/hyperlearn, danielhanchen/notes and 5 other repositories

Contribution activity

March 2021

1 contribution in private repositories Mar 2

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