AFAgarap/pt-datasets

This repository has been archived on 06/May/2023
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AFAgarap/pt-datasets

AFAgarap

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PyTorch dataset loader for image, text, malware, and medical classification datasets

cnn-svm

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

malware-classification

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

gru-svm

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

wisconsin-breast-cancer

[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset

dl-relu

Deep Learning using Rectified Linear Units (ReLU)

Jupyter Notebook

support-vector-machine

An implementation of the L2-SVM for breast cancer detection using the Wisconsin diagnostic dataset.

ecommerce-reviews-analysis

Statistical Analysis on E-Commerce Reviews, with Sentiment Classification using Bidirectional Recurrent Neural Network (RNN)

Jupyter Notebook

pt-clustering-ae

Code implementation for "Improving k-Means Clustering Performance with Disentangled Internal Representations" by Agarap & Azcarraga (2020)

opencv-python-training

OpenCV-Python Tutorials

Jupyter Notebook

feed-forward-neural-network

An implementation of the Multilayer Perceptron for breast cancer detection using the Wisconsin diagnostic dataset.

vanishing-gradients

Avoiding the vanishing gradients problem by adding random noise and batch normalization

dnn-trust

How can I trust you? An intuition and tutorial on trust score

Jupyter Notebook

autoencoders

Jupyter Notebook

ag-news-ae-clustering

Using an Autoencoder to encode features for k-Means Clustering on the AG News Dataset

cooperative-competitive-learning

Potentially helpful methods for specialized ensemble learning.

AFAgarap.github.io

https://afagarap.works