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*[tensorpack](https://github.com/ppwwyyxx/tensorpack) - A Neural Net Training Interface on TensorFlow. <imgheight="20"src="img/tf_big2.png"alt="sklearn">
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*[Polyaxon](https://github.com/polyaxon/polyaxon) - A platform that helps you build, manage and monitor deep learning models. <imgheight="20"src="img/tf_big2.png"alt="sklearn">
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*[NeuPy](https://github.com/itdxer/neupy) - NeuPy is a Python library for Artificial Neural Networks and Deep Learning (previously: <imgheight="20"src="img/theano_big.png"alt="Theano compatible">). <imgheight="20"src="img/tf_big2.png"alt="sklearn">
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*[tfdeploy](https://github.com/riga/tfdeploy) - Deploy TensorFlow graphs for fast evaluation and export to TensorFlow-less environments running numpy. <imgheight="20"src="img/tf_big2.png"alt="sklearn">
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*[tensorflow-upstream](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) - TensorFlow ROCm port. <imgheight="20"src="img/tf_big2.png"alt="sklearn"> <imgheight="20"src="img/amd_big.png"alt="Possible to run on AMD GPU">
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*[TensorFlow Fold](https://github.com/tensorflow/fold) - Deep learning with dynamic computation graphs in TensorFlow. <imgheight="20"src="img/tf_big2.png"alt="sklearn">
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