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Camila 's Projects

3d-scatter-plot icon 3d-scatter-plot

Plot 3D scatter example iris dataset It works with .xls .xlsx or csv, using Pandas to load dataset. Function scatter_plot group data by argument Name, plot and edit labels

caroltrio_perf icon caroltrio_perf

Analysis code and notebook for the performance with the caroltrio using the eegsynth

ccloader icon ccloader

Burn BLE Mini (CC2540) firmware using Blend Micro board.

cigan icon cigan

Second version ciGan. Data augmentation using Generation Antagonist Networks (GANs).

cigan2 icon cigan2

Code for projet : "Generation of synthetic pathological mammograms from non-pathological images using GAN"

deep-learning icon deep-learning

These lab sessions are based on the code given by the teacher staff. Our work is understand the principles and make experiments who compare differents models of deep learning.

isomap icon isomap

P2: IA. IsoMap (which stands for Isometric Mapping) seeks a lower-dimensional embedding which maintains geodesic distances (distances following a manifold surface) between all points (instead of using classical Euclidean distance). This manifold surface is an intrinsic propery of the dataset.

mammo-cigan icon mammo-cigan

Code for "Conditional infilling GAN for Data Augmentation in Mammogram Classification"

scatter3d- icon scatter3d-

Plot three-dimensional feature space. Dataset example: IRIS

soundnet-keras icon soundnet-keras

The purpose of this notebook is to explain how SoundNet works (maths, code, and experiments). Soundnet was developed in 2016 in order to use the natural synchronization between pictures and sounds to learn an acoustic representation from a large number of unlabeled videos, it means to get important features of the sound which allow us to depict them. Other studies are focused on features such as spectrograms and MFCC, on another hand, Soundnet is focused on the natural sounds.

ugatit-pytorch icon ugatit-pytorch

Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

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