Federico Arenas (@federicoarenasl)
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federicoarenasl

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Top repositories

1

blender-sdg

Step-by-step tutorial on how to create data with Blender for an object detection application, with ressources included.
Python
69
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2

Evaluating-w-Embeddings

In this paper we compare and evaluate two simple embedding models which can be constructed directly from a given co-occurrence matrix extracted from Twitter data; Positive Pointwise Mutual Information (PPMI), and Hellinger Principal Component Analysis (H-PCA). For each embedding model we consider three alternative metrics for word similarity: cosine, euclidean and manhattan distance.
Jupyter Notebook
4
star
3

SVM-LR-on-Fashion-MNIST

This is a brief tutorial on using Logistic Regression and Support Vector Machines for classification on the Fashion MNIST dataset.
Jupyter Notebook
2
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4

PCA-on-Fashion-MNIST

This is a concise tutorial on applying PCA in the benchmark dataset Fashion MNIST. I analyse how the data compression process is done in visual information.
Jupyter Notebook
2
star
5

Regularization-techniques-on-NNs

During this study we will explore the different regularisation methods that can be used to address the problem of overfitting in a given Neural Network architecture, using the balanced EMNIST dataset.
Jupyter Notebook
1
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6

Optmizing-CNNs-w-ResNets

In this repository I explore the effect of applying Residual Connections to a VGG CNN Architecture, as well as applying Batch Normalisation. The networks are tested on the CIFAR100 benchmark dataset.
Jupyter Notebook
1
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7

BoVW-ResNet18-Robustness-Evaluation

The aim of this project is to explore the classification of images using a ResNet18 Convolutional Neural Network and a Bag of Visual Words (BoVW) method that uses Support Vector Machines (SVM) on a dataset that contains 1200 224 x 224 images of cats and dogs.
Python
1
star