AFAgarap

ag-news-ae-clustering

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

cnn-svm

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

dl-relu

Deep Learning using Rectified Linear Units (ReLU)

ecommerce-reviews-analysis

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

gru-svm

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

malware-classification

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

pt-datasets

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

wisconsin-breast-cancer

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

AFAgarap/cnn-svm

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

AFAgarap/malware-classification

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

AFAgarap/gru-svm

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

AFAgarap/wisconsin-breast-cancer

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

AFAgarap/dl-relu

Deep Learning using Rectified Linear Units (ReLU)

AFAgarap/ecommerce-reviews-analysis

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

AFAgarap/support-vector-machine

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

AFAgarap/pt-clustering-ae

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

AFAgarap/opencv-python-training

OpenCV-Python Tutorials

AFAgarap/feed-forward-neural-network

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

AFAgarap/pt-datasets

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

AFAgarap/vanishing-gradients

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

AFAgarap/dnn-trust

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

AFAgarap/ag-news-ae-clustering

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

AFAgarap/autoencoders

AFAgarap/cooperative-competitive-learning

Potentially helpful methods for specialized ensemble learning.

AFAgarap/AFAgarap.github.io

https://afagarap.works

AFAgarap/csc613m-dlsu

AFAgarap/data-centric-deep-learning

Public repository for the "Data-Centric Deep Learning" course taught by Mike Wu and Andrew Maas. Available at https://corise.com/course/data-centric-deep-learning.

AFAgarap/exa

A modern replacement for ‘ls’.

AFAgarap/fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

AFAgarap/kwta-ensemble

AFAgarap/reading-list

Repository dump for papers that I find interesting but haven't found the time to read them yet.

AFAgarap/vim-config

This repository documents my Vim configuration.