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@rapidsai

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  1. 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. cuML - RAPIDS Machine Learning Library

    Cuda 1.6k 256

  3. Scipy library main repository

    Python 7.4k 3.4k

  4. Tensors and Dynamic neural networks in Python with strong GPU acceleration

    C++ 41.4k 10.9k

  5. 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 26.3k 10.8k

  6. NumPy-like API accelerated with CUDA

    Python 4.4k 404

1,100 contributions in the last year

Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Mon Wed Fri
Activity overview
Contributed to danielhanchen/tsne, rapidsai/cuml, danielhanchen/cuml and 4 other repositories
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Contribution activity

August 2020

4 contributions in private repositories Aug 4 – Aug 24

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