GitLab

Développement d'un outil de détection de bugs par apprentissage

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.

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.

Using TensorRT integration in Tensorflow to perform CNN inference.

CodecBenchmarker is a Python project that allows to benchmark the performance of traditional codecs against learning-based models used for image and video compression.

Compte rendu de mon stage chez STMicroelectronics.

Projects running on the cortex M4f Sources for high level API

Projet de CPOO

Genetic algorithm python implementation