pip install mxnet-mkl==1.7.0b20200315
MXNet is an ultra-scalable deep learning framework. This version uses MKLDNN.
SourceAmong top 1% packages on PyPI.
Over 477.8K downloads in the last 90 days.
mxnet-mkl
Based on how often these packages appear together in public
requirements.txt
files on GitHub.
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Haiku is a library for building neural networks in JAX. |
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Efficient TensorFlow implementation of reinforcement learning algorithms. |
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Self-Organizing Maps in Numpy |
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Algorithms for monitoring and explaining machine learning models |
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None |
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Sample in hypercubes, select diverse subsets, and measure diversity |
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TFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile devices. |
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Log TensorBoard events without Tensorflow |
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Fast, flexible and fun neural networks. |
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TensorFlow Official Models |
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Read and write large, multi-dimensional arrays |
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A Python wrapper for the ROUGE summarization evaluation package. |
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A more pythonic wrapper around the MSNumpress library for mass spectrometry numerical data compression |
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Microstructure Diffusion Toolbox |
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Cython interface between the numpy arrays and the Matrix/Array classes of the Eigen C++ library |
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Phi is a library for fluent functional programming in Python which includes a DSL + facilities to create libraries that integrate with it. |
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A Fast SVM Library on GPUs and CPUs |
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Accelerated K-means and K-nn on GPU |
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A python binding for the Tango control system |
mxnet-mklProportion of downloaded versions in the last 3 months (only versions over 1%).
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1.6.0 |
95.07% |
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1.3.1 |
2.27% |