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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.

Using TensorRT integration in Tensorflow to perform CNN inference.

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.

Spoken Language Understanding: slot tagging project

Create a IA for the Sokoban game