pip install tflite-support==0.2.0
TFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile devices.
SourceAmong top 2% packages on PyPI.
Over 74.5K downloads in the last 90 days.
tflite-support
Based on how often these packages appear together in public
requirements.txt
files on GitHub.
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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Algorithms for monitoring and explaining machine learning models |
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MXNet is an ultra-scalable deep learning framework. This version uses MKLDNN. |
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Log TensorBoard events without Tensorflow |
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Self-Organizing Maps in Numpy |
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OpenAI baselines: high quality implementations of reinforcement learning algorithms |
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Sample in hypercubes, select diverse subsets, and measure diversity |
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A Python wrapper for the ROUGE summarization evaluation package. |
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TensorFlow Official Models |
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Read and write large, multi-dimensional arrays |
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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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A more pythonic wrapper around the MSNumpress library for mass spectrometry numerical data compression |
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Streamlined machine learning experiment management. |
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A Fast SVM Library on GPUs and CPUs |
tflite-support
Proportion of downloaded versions in the last 3 months (only versions over 1%).
0.2.0 |
82.80% |
0.1.0 |
7.54% |
0.2.0rc1 |
4.60% |
0.1.0a1 |
1.37% |