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Développement d'un outil de détection de bugs par apprentissage
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An example of using the frugally-deep library. The goal is to perform the inference of a CNN (trained by Keras) in a c++ program and use npy files as input.
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An example of using the Tensorflow-GPU with Cuda and cuDNN. The goal is to perform the inference of a CNN (trained by Keras) in a python program and use npy files as input.
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Using TensorRT integration in Tensorflow to perform CNN inference.
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CodecBenchmarker is a Python project that allows to benchmark the performance of traditional codecs against learning-based models used for image and video compression.
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Compte rendu de mon stage chez STMicroelectronics.
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Projects running on the cortex M4f Sources for high level API
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