pip install diversipy==0.8
Sample in hypercubes, select diverse subsets, and measure diversity
SourceAmong top 50% packages on PyPI.
Over 3.5K downloads in the last 90 days.
diversipy
Based on how often these packages appear together in public
requirements.txt
files on GitHub.
Fast, flexible and fun neural networks. |
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None |
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HDF5 Plugins for windows,MacOS and linux |
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A python binding for the Tango control system |
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Efficient TensorFlow implementation of reinforcement learning algorithms. |
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Haiku is a library for building neural networks in JAX. |
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MXNet is an ultra-scalable deep learning framework. This version uses MKLDNN. |
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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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Noise of different colors |
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TensorFlow Official Models |
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None |
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Algorithms for monitoring and explaining machine learning models |
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A Python wrapper for the Starlink AST library |
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Microstructure Diffusion Toolbox |
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Read and write large, multi-dimensional arrays |
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Compute geodesic distances |
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Use UCSF Chimera Python API in a standard Python 2.7 interpreter. |
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A Fast SVM Library on GPUs and CPUs |
diversipy
Proportion of downloaded versions in the last 3 months (only versions over 1%).
0.8 |
85.58% |
0.7 |
2.80% |
0.6 |
2.74% |
0.5 |
2.28% |
0.2 |
2.23% |
0.4 |
2.20% |
0.3 |
2.17% |