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1. blender-sdgblender-sdgPublic

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

   Python 72 11

2. Evaluating-w-EmbeddingsEvaluating-w-EmbeddingsPublic

   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 Informat…

   Jupyter Notebook 4 1

3. PCA-on-Fashion-MNISTPCA-on-Fashion-MNISTPublic

   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.

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4. SVM-LR-on-Fashion-MNISTSVM-LR-on-Fashion-MNISTPublic

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

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5. BoVW-ResNet18-Robustness-EvaluationBoVW-ResNet18-Robustness-EvaluationPublic

   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…

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6. Regularization-techniques-on-NNsRegularization-techniques-on-NNsPublic

   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