I present to smart fashion AI team a framework for specifying, training, evaluating, and deploying machine learning models.
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Updated
Jan 23, 2020
I present to smart fashion AI team a framework for specifying, training, evaluating, and deploying machine learning models.
This notebook explains `TFRecords` and how to create them.
Utils scripts for object detection and tfevents exploration and visualization
A simple implementation AlexNet
YAD2K: Yet Another Darknet 2 Keras
Create tf-records
A Kaggle competition - Image classification task
Rede Neural 3D CNN para Classificação de TDAH em Imagens de Ressonância Magnética fMRI
Create TFRecords to train TensorFlow models.
TensorFlow framework for neutrino event reconstruction.
CNN for image recognition based on CIFAR-10 dataset using tensorflow and serializing dataset in tfrecords datatype
This is the python framework implementation of open source Machine learning library Tensorflow. the framework id targeted for Lightfield dataset and implements a DCGAN network on Cars dataset
Small library which can load your dataset from folder structure and generate tfrecords and pickle files.
Convolutional Neural Networks: (1) based on UNet; (2) FCN8 for Image Segmentation of Pascal VOC 2012 dataset written as part of my MSc in Artificial Intelligence degree. Written in Tensorflow 2.0 with Keras Functional API.
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