pip install alibi==0.6.1
Algorithms for monitoring and explaining machine learning models
SourceAmong top 3% packages on PyPI.
Over 44.1K downloads in the last 90 days.
alibi
Based on how often these packages appear together in public
requirements.txt
files on GitHub.
MXNet is an ultra-scalable deep learning framework. This version uses MKLDNN. |
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None |
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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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TFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile devices. |
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Sample in hypercubes, select diverse subsets, and measure diversity |
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Self-Organizing Maps in Numpy |
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A Python wrapper for the ROUGE summarization evaluation package. |
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TensorFlow Official Models |
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Fast, flexible and fun neural networks. |
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Read and write large, multi-dimensional arrays |
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Log TensorBoard events without Tensorflow |
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A python binding for the Tango control system |
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HDF5 Plugins for windows,MacOS and linux |
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None |
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A more pythonic wrapper around the MSNumpress library for mass spectrometry numerical data compression |
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A Wrapper around the ZPar statistical tagger/parser for English |
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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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Cython interface between the numpy arrays and the Matrix/Array classes of the Eigen C++ library |
alibi
Proportion of downloaded versions in the last 3 months (only versions over 1%).
0.6.1 |
32.20% |
0.6.0 |
26.20% |
0.5.1 |
11.20% |
0.5.8 |
7.80% |
0.5.5 |
4.02% |
0.5.0 |
3.34% |
0.5.7 |
2.35% |
0.4.0 |
2.14% |
0.5.2 |
1.74% |
0.3.2 |
1.22% |
0.5.6 |
1.18% |